Research Associate/Fellow - Knowledge Mobilisation (Fixed term, Part time), University of Nottingham, UnitedKingdom

Apply for VTT's Green Transition opportunities!, VTT, Finland

Senior Scientist, Computational Materials Science, VTT, Finland

Research Scientist, Non-destructive Testing (NDT), VTT, Finland

Postdoctoral Research Fellow (Biomedical antenna systems), Tampere University, Finland

Research Assistant for the RESPOND project "Improving the Preparedness of Health Systems to Reduce Mental Health and Psychosocial Concerns resulting from the COVID-19 Pandemic", Université catholique de Louvain, Belgium

Postdoc in Biophysics, Université catholique de Louvain, Belgium

PostDoc position “Hydrological Modeller” (m/f/d), Potsdam Institute for Climate Impact Research (PIK), Germany

✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!

✔️ @ApplyTime
🌐 https://applytime.ir

Fully-funded PhD Position in AI for Lifelong Learning at University of Cagliari, Sardinia, Italy.
Deadline: 8th September 2022, 12:00 pm GMT+2
Notice of competition: https://www.unica.it/unica/protected/385973/0/def/ref/AVS385912/
How to apply online: https://www.unica.it/unica/page/en/how_to_apply_for_phd_selection_guidelines_and_forms3

Your mission:
AI has deeply revolutionized fields where data can be easily collected and used to discover complex patterns and relationships that would otherwise escape the human mind. Recent advances in computer vision, sequence modeling, generative modeling, reinforcement learning, and responsible learning are enabling an intelligent automated support at scale in various applied domains. A notable domain influenced by the recent progress in AI is lifelong education, which is requiring scientists able to bridge between AI and education. Are you interested in developing AI models able to understand, improve, and support human lifelong learning? Do you want to join us on the exciting journey of transforming lifelong education through high-impact AI research?

Within the Artificial Intelligence and Big Data Laboratory (AIBD) at the Department of Mathematics and Computer Science of the University of Cagliari, the Human-Machine Understanding research unit, coordinated by Dr. Mirko Marras, has a fully-funded PhD position in AI for lifelong learning, with a special attention to its application for competence development in public administrations. The main areas of interest include intelligent learning technologies, physical and behavioral user modeling, adaptation, and personalization, recommendation, and responsible machine learning (e.g., fairness, explainability). You will work in a highly talented and motivated research group, under a friendly and constructive environment. You are expected to perform innovative research at the intersection of machine learning and education, being able to directly observe its impact in the field. Apart from this, you are expected to help with several lightweight educational activities, such as supervision of bachelor/master projects and tutoring.

Your profile:
Ideal applicants are expected to have completed a Master-level degree programme in computer science, information science, or other related technical fields. We expect a background and a proven course and/or project record in machine learning, artificial intelligence, data mining, or statistics. Prior experience in working with educational data is preferred but not mandatory, and an interest in education is a must for applying to this position. We expect excellent communication skills in English. Italian knowledge is an additional asset but not mandatory. Equal opportunities to all the applicants will be provided.

We offer:
The University of Cagliari has key international expertise in computer science, and in artificial intelligence in particular. Specifically, the AIBD lab regularly publishes its research work in top-tier journals, presents in highly-ranked conferences in the field, such as AIED, EDM, ECIR, IJCB, INTERSPEECH, L@S, and SIGIR, is involved in spin-offs where students can be engaged in business-oriented practical applications, and actively collaborates with several international universities, research institutes, and companies. You will have the opportunity to attend international conferences and schools to present your own research products and for training. Computing resources will be available to execute your agenda. Within the three-year doctorate period, you will be also offered the opportunity of spending a period of 6 months in a public administration interested in adopting AI for lifelong learning and further 6 months in an international research group among the ones collaborating with us.
✔️ @ApplyTime

PostDoc position at Grenoble Alps University, France

Summary
The Grenoble Alps University offers a PostDoc position for a highly motivated candidate to be working on the multi-disciplinary research project THERADIA, which aims to create an empathic virtual assistant that accompanies cognitively impaired patients during remediation exercises at home. The successful candidate will have the exciting opportunity to develop new machine learning techniques for the robust detection of affective and cognitive behaviours from newly collected audiovisual data. Models will be incorporated into the virtual agent to tailor the interaction with the patient, using specific interaction scenarios, and these models will be evaluated and fine-tuned in a clinical trial to demonstrate the effectiveness of the agent in supporting patients suffering from cognitive conditions during digital therapies. If successful, the system will be operated nationally and the cognitive remediation sessions will be covered by social security.

Duration: 2 years,
Salary: according to experience (up to 4142€ / month)
Envisaged starting date: November 2022

Scientific environment
The person recruited will be hosted within the GETALP team of the Laboratoire d’Informatique de Grenoble (LIG), which offers a dynamic, international, and stimulating framework for conducting high-level multi-disciplinary research. The GETALP team is housed in a modern building (IMAG) located on a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by Times Higher Education magazine in 2018.

Requirements
The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience.

The successful candidate should have:
· Excellent knowledge of machine learning techniques
· Good knowledge of speech and/or image processing
· Good knowledge of experimental design and statistics
· Strong programming skills in Python
· Excellent publication record
· Willing to work in multi-disciplinary and international teams
· Good communication skills

Application
Applications are expected to be received on an ongoing basis and the position will be open until filled. Applications should be sent to Fabien Ringeval (fabien.ringeval@imag.fr) and François Portet (francois.portet@imag.fr). The application file should contain:
✔️ @ApplyTime
· Curriculum vitae
· Recommendation letter
· One-page summary of research background and interests
· At least three publications demonstrating expertise in the aforementioned areas
· Pre-defence reports and defence minutes; or summary of the thesis with date of defence for those currently in doctoral studies

Researcher - Mathematical Methods of Economics, Finance and Actuarial Sciences (Prof. Hamel), Free University of Bozen - Bolzano, Italy

Researcher - Information processing systems (Prof. Wang), Free University of Bozen - Bolzano, Italy

Researcher - Informatics (Prof. Nutt), Free University of Bozen - Bolzano, Italy

Researcher - Informatics (Prof. Nutt), Free University of Bozen - Bolzano, Italy

Researcher - Informatics (Prof. Pahl), Free University of Bozen - Bolzano, Italy

Researcher - Informatics (Prof. Franconi), Free University of Bozen - Bolzano, Italy

Researcher - Informatics (Prof. De Angeli), Free University of Bozen - Bolzano, Italy

Researcher - Informatics (Prof. Di Fatta), Free University of Bozen - Bolzano, Italy

PhD Position – Modeling the Fabrication Process of Organic Solar Cells, Forschungszentrum Jülich GmbH, Germany

Postdoctoral Fellowship in Urban Studies, University of Basel, Switzerland

✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!

✔️ @ApplyTime
🌐 https://applytime.ir

PhD Student position in the field of thin-film solar cells, Empa, Switzerland

Post-doc position in the field of thin-film devices for energy applications, Empa, Switzerland

Researcher - Interior design and staging (Prof. Gigliotti), Free University of Bozen - Bolzano, Italy

✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!

✔️ @ApplyTime
🌐 https://applytime.ir

✔️ @ApplyTime

Two fully funded PhD positions are available at the ANITI institute, Federal University of Toulouse, France.
The positions, funded by the European Project TUPLES, are in the area of deep learning for automated planning and scheduling, including:
- hybrid (neuro-symbolic) methods for planning and scheduling
- explanation and verification of plans, policies, and schedules

For details and application instructions, see here: https://users.cecs.anu.edu.au/~thiebaux/projects/tuples/TUPLES-PhD.pdf
We also have a postdoc position in this area. Please contact me if interested.

Sylvie Thiebaux

--
Prof. Sylvie Thiebaux
E: Sylvie.Thiebaux@gmail.com
W: http://users.cecs.anu.edu.au/~thiebaux/
✔️ @ApplyTime

PostDoc position available in Spain
Dear colleagues,

A Computational Biologist or Bioinformatician position is offered to work at the Adoptive Cell Therapy Laboratory of the Hemato-Oncology Program of the CIMA Universidad de Navarra in Pamplona (Spain). The 3-year position is funded by the European Union through the EIC Pathfinder programme and offers the opportunity to exploit deep multiomics profiling to bring novel, efficient and safer hematopoietic stem cell engineering to clinical application. The work will be in permanent collaboration with an interactive international team of basic and translational researchers.


The successful candidate will:

• Participate in the planning, processing, analysis and interpretation of next generation sequencing experiments (scRNA-seq, sc ATAC-seq, CITE-seq, etc.).

• Participate in the development of data analysis workflows and pipelines for high throughput “omics” data, as well as implementation of software tools for multiomic analysis.

• Collaborate in multiple projects, having the possibility to carry on a personal research project.

• Active participation on manunoscript preparations and project submission.


Desired qualifications:

• University degree or postgraduate training in computational biology & bioinformatics.

• Experience in the data processing and statistical analysis of high-throughput genomic data.

• Knowledge of informatics tools and visualization/data mining packages and an aptitude for optimally adapting them to specific problems.

• Knowledge of programming environment (R/Bioconductor, Matlab) and programming languages (Perl, Python, Java...).

• Good organizational, communication and interpersonal skills.



Interested applicants should send a cover letter describing past experience and interests as well as their CV including references to:

Oscar Gonzalez Moreno

ogonmor@unav.es

Tel. +34948194700 ext 811047


---
Mikel Hernaez, PhD
Computational Biology Program, Director
Machine Learning for Biomedicine, Head
CIMA University of Navarra
T: +34 948 194 700 #815000
Pío XII, 55. 31008, Pamplona, Spain
mhernaez@unav.es
✔️ @ApplyTime

Postdoc at SUNY in Neuroscience and Machine Learning
Dr. Kinreich's group at SUNY Downstate Medical Center investigates the structural and functional neural networks, genetics, and other phenotypes associated with the risk and resilience factors underlying the development of brain diseases. We use advanced machine learning algorithms and are seeking a skilled, motivated, and enthusiastic postdoctoral associate to join the lab.

Please see the Postdoctoral Associate position denoscription and documents for the application.

Best,

Sivan Kinreich

The position:

Education:

Candidates must have a Ph.D. degree (or towards completion) in neuroscience, computational neuroscience, computer science, biology or a related discipline.

Computer and General Skills:

Knowledge of experimental statistics and excellent programming skills is required (Python, Matlab). High-level expertise in neuroimaging analyses is a plus. Previous experience in machine learning analysis and computational modeling is desirable. Takes initiative. Strong communications skills and research productivity as well as the ability to work effectively in a research team.

Duties and Responsibilities:

• Managing and analyzing big data including neuroimaging, genetics, and clinical data
• Writing machine learning programs in Python and Matlab to identify patterns in data
• Writing manunoscripts
• Assisting the PI in grant applications
• Presenting findings at national conferences and local seminars/meetings
This job is available immediately, for 2-4 years. Job is open until filled.

Salary will be commensurate with experience and qualifications according to NIH scales.

Candidates should send their CV, statement of research interests, representative publications, and contact information of two references to Sivan Kinreich, email: sivan.kinreich@downstate.edu

SUNY Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and do not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression.


Sivan Kinreich, Ph.D.
Department of Psychiatry
SUNY Downstate Medical Center
450 Clarkson Ave.
Brooklyn, NY 11203
Email: sivan.kinreich@downstate.edu
✔️ @ApplyTime

I-Chun Lin <email.bckup@gmail.com>
Fri, Aug 19, 7:15 AM (7 days ago)
to Machine Unsubscribe

The Gatsby Computational Neuroscience Unit invites applications for postdoctoral fellowships in theoretical neuroscience.

Successful applicants will carry out original research under the guidance of a faculty member, primarily on one of these research themes:
- How dynamical computation in neural systems underlies functions ranging from perceptual inference to deliberation, action selection and execution (mentor: Maneesh Sahani).
- Deep learning theory (mentor: Andrew Saxe).

Applications close at the end of August 2022. For detailed information on the roles and how to apply, please visit www.ucl.ac.uk/gatsby/vacancies


About the Gatsby Unit
Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond.

--
I-Chun Lin, PhD
Scientific Programme Manager
Gatsby Computational Neuroscience Unit, UCL
www.ucl.ac.uk/gatsby | @GatsbyUCL
✔️ @ApplyTime

Postdoc in Protein Bioinformatics

Dear MLCSB Colleagues,

A new fully funded postdoc position is available in my lab at http://biomine.cs.vcu.edu/. This position is at the interface of bioinformatics and machine learning and involves development of high-end protein bioinformatics tools and resources for the prediction and characterization of protein function and structure. This is an excellent opportunity to be part of the team that won the recent Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment (https://www.nature.com/articles/s41467-021-24773-7).

The position is open to both new and experienced postdocs. Research projects will involve design, implementation, comparative analysis, and deployment of computational algorithms, parsing and analysis of molecular data, and/or development and administration of online databases and servers. The ideal candidate will have a strong background in programming, use of machine learning libraries, predictive modelling, and (preferably) computational analysis of molecular data. Preference will be given to candidates who have experience in the analysis of protein sequences. We offer contracts for at least 2 years, access to state-of-the-art infrastructure, stimulating research environment, and excellent opportunities to work with a strong network of international collaborators.

Review of applications will start on Sept. 26, 2022, and will continue until filled. To apply, please visit https://vcu.csod.com/ux/ats/careersite/1/home/requisition/2406?c=vcu.

With warmest regards,
Lukasz

Lukasz Kurgan
Robert J. Mattauch Endowed Professor
Department of Computer Science, Virginia Commonwealth University
lkurgan@vcu.edu
http://biomine.cs.vcu.edu/
✔️ @ApplyTime

Postdoctoral research position - Document Intelligence and Privacy Preserving Learning
The Computer Vision Center (CVC) has a vacancy for a postdoc to work at the frontier between document intelligence and privacy preserving learning.



The position is linked to the European Lighthouse on Secure and Safe AI (ELSA) project https://elsa-ai.eu/, funded by European Union’s Horizon Europe research and innovation programme.



The successful candidate is expected to contribute to the design and development of AI solutions for document understanding, and in particular on Document Visual Question Answering systems, employing privacy preserving techniques and infrastructures set up by the ELSA project.



The candidate is expected to have extensive experience in at least one of: document intelligence and/or private and robust collaborative learning (differential privacy, federated learning), and an appetite to learn.



All applications must include a full CV in English including contact details and a Cover Letter with a statement of interest in English.



Duration: between 30 and 36 months, depending on the start date

Salary: €40,000 annual gross, according to CVC labour categories



More information and application procedure:

https://euraxess.ec.europa.eu/jobs/815190

http://www.cvc.uab.es/blog/2022/07/19/postdoctoral-research-position/





This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070617. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
✔️ @ApplyTime

Postdoctoral fellowships at the ENSTA Paris

The U2iS laboratory of ENSTA Paris at Institut Polytechnique de Paris is looking for a motivated and enthusiastic young researcher to work on 3D pose estimation and uncertainty. Founded in 1741 ENSTA Paris is the oldest "Grande Ecole" in France and is located in Palaiseau in the south of Paris.

We seek a research post-doc interested in uncertainty quantification. Deep Neural networks are increasingly overconfident and it is essential to be able to quantify their uncertainty.



The candidate should have basic knowledge of Deep Learning. Computer science/ or mathematician profiles are also welcome to apply.

If you are interested, please contact me: gianni.franchi at ensta-paris.fr

✔️ @ApplyTime

https://perso.ensta-paris.fr/~franchi/positions/Postdoc_uncertainty.pd

Research Assistant Position in Preschool Developmental Cognitive Neuroscience

Laboratory for Child Brain Development

Department of Psychiatry, Washington University – St. Louis

https://wustl.wd1.myworkdayjobs.com/en-US/External (search Job #JR68816)



The Laboratory for Child Brain Development (LCBD-PI: Dr. Susan Perlman) currently has an opening for a research assistant to work on three NIH studies of temperament, the parent-child relationship, and biological stress unfolding during early childhood.



The applicant’s main appointment will be in the Laboratory for Child Brain Development (LCBD; http://www.childbrainlab.com) in the Department of Psychiatry in the Washington University, School of Medicine, William Greenleaf Eliot Division of Child and Adolescent Psychiatry (https://childpsychiatry.wustl.edu/). The LCBD is dedicated to using multi-modal methodology to understand the trajectories of emotional development from infancy to middle childhood (with a strong preschool focus). Currently, the LCBD has several ongoing projects including: 1) Biological changes in children experiencing stressful life events; 2) Longitudinal development of preschool irritability as a predictor for psychopathology; 3) Interpersonal brain synchronization in early childhood psychopathology, including autism spectrum disorder; 4) The impact of treatment for disruptive behavior on brain development and; 5) Brain development in preschool children who were born dependent on opioids, in addition to several local and national collaborations. The research assistant will mostly be working on two studies. The first is a longitudinal study investigating the biological unfolding of stress and how it predicts the onset of psychopathology in 4-6 year-old children. This study, funded by the National Institute of Mental Health employs intensive, state-of-the-art, multi-modal, neurodevelopmental measurement including functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), HPA axis measurement (hair and salivary cortisol), and inflammatory markers. The second is a NIH funded, longitudinal study investigating the transmission of anxiety from parent to child through dyadic interaction and biological synchrony. This study is also multi-modal and includes fNIRS, EEG, eye-tracking, and behavioral coding. The research assistant will also be aiding with data preprocessing and analysis from previously collected studies. Additional, multi-modal studies within the laboratory employ eye tracking, facial expression and behavioral coding, and sleep actigraphy, hair cortisol.



This is an ideal position for a candidate looking to gain research experience before applying to graduate or medical school. The research assistant will be an integral member of this scientific team and will have opportunities to earn authorship on publications and present posters at scientific meetings.



Position requires a bachelor’s degree in psychology, neuroscience, engineering or a related field. The ideal candidate will demonstrate interest in child development, strong motivation, work ethic, and organizational skills, and will combine collaborative orientation with the ability to function well independently. Flexibility in scheduling during some weekend and evening hours is required. This position requires experience in a research laboratory environment (whether through previous work experience or during undergraduate studies). Experience with a brain imaging modality (fMRI, EEG, fNIRS) and/or psychophysiology (heart rate, skin conductance, pupillometry) is preferred, along with experience in computer programming languages (R, Matlab, Python). Previous experience with children and families is required. The research assistant will be expected to cooperate fully with the lab’s Covid-19 protocol for safe data collection in children.

This position is open for an immediate start date. Applicants who intend to spend a minimum of 2 years in the position will be preferred. There is a possibility of extending the position pending future funding and progress. Applicants will be considered until the position is filled. Please highlight relevant experience in your cover letter. Questions regarding the position should be directed to Dr. Perlman at perlmansusan@wustl.edu.




✔️ @ApplyTime

----------------------------------------------------------

Susan B. Perlman, Ph.D.

Director Laboratory for Child Brain Development

Associate Professor

Washington University-St. Louis

Call for a PhD student in Neuroethology/ Systems Neuroscience

A fully funded PhD position is available in our research group “Instinctive Behaviour Circuits”, headed by Dr. Vanessa Stempel.

About the lab. Our goal is to identify canonical neuronal computations and plasticity mechanisms that impart flexibility to instinctive behaviours. To answer these questions, we use a state-of-the-art, multidisciplinary approach: we perform in vivo neural activity recordings and manipulation experiments in ethologically-relevant behavioural tasks in mice, and combine these with molecular, cellular and circuit-level analyses in vitro (for details see: https://brain.mpg.de/stempel).

Your profile. We are looking for an enthusiastic and innovative student with a keen interest in neuroethological approaches to systems neuroscience and strong quantitative skills. You hold an excellent Master’s degree (or equivalent) in Neuroscience or a related field (e.g. biology, physics, computer science, engineering, maths). A basic knowledge of neuroscience is preferable but not required. In exceptional cases, a BSc degree in a relevant field may be sufficient.

The successful candidate will have a track record of academic and research excellence and will be fluent in written and spoken English. Experience with experimental and data analysis techniques relevant to our research program will be a plus. We are especially encouraging students with prior experience in electrophysiological recordings and programming to apply.

How to apply. We look forward to receiving your application as one PDF-document including a letter of motivation (one page: including research experiences and future career plans), CV, Master's degree certificate and trannoscript, Bachelor's degree certificate and trannoscript.

This call will be open until the position is filled.

For further information, and to submit your application, please contact: Dr. Vanessa Stempel (vanessa.stempel@brain.mpg.de).

✔️ @ApplyTime
_______________________________
Dr. Vanessa Stempel
Max Planck Research Group Leader
Max Planck Institute for Brain Research
Max-von-Laue-Str. 4
60438 Frankfurt, Germany

Fully funded PhD Fellowships at INSAIT
The Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT), created in partnership with ETH Zurich and EPFL, seeks candidates for Ph.D. Positions in Computer Science and Artificial Intelligence with Full 5-year Fellowships.

INSAIT is the first research institute in computer science and artificial intelligence located in Eastern Europe whose mission is to become one of the world's leading research and innovation powerhouses. At INSAIT, students benefit from:

Mentorship by top professors from world-class universities such as MIT, CMU, ETH Zurich, Yale, EPFL.
Outstanding working conditions that provide the freedom to think and the space to learn and grow, with a compensation of €36,000 / year gross.
Rolling admission process, accepting PhD applications at any point during the academic year.
To apply, students must hold a B.Sc. or a M.Sc. degree (or be within the last year of completing either) in computer science, data science, mathematics, physics, statistics, or electrical engineering. We welcome all excellent candidates with a strong academic background who are keen on conducting world-class research in the general field of AI and computer science.

INSAIT is a strong proponent of diversity in science, and as such, we strongly welcome applications from all under-represented groups in the field.

When ready to apply, go to: https://insait.ai/phd/

Best regards,

Boriana Shalyavska
Head of Academic Admissions and Relations
https://insait.ai/

Postdoc position (m/f/x) on engineering the membrane electron transport pathway in Synechocystis, Helmholtz-Centre for Environmental Research GmbH UFZ, Germany

Research Associate/Fellow in Dementia and Hearing Loss (Fixed term, Part time), University of Nottingham, UnitedKingdom

Postdoctoral Research Fellow (Low-Power, High-Speed Flexible and Printed Electronics), Tampere University, Finland

Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom

KTP Associate – Research Data Scientist (fixed term), University of Nottingham, UnitedKingdom

Scientific member of staff / (m/f/d) Development and micro-integration of micromechanical-optical setups for atom-based quantum sensors - 36/22, Ferdinand-Braun-Institut, Leibniz-Institut fuer Hoechstfrequenztechnik (FBH), Germany

Research Scientist in Cement and Binder Chemistry, VTT, Finland

Research professor in plant genomics, Natural Resources Institute Finland (Luke), Finland

Scientist - Integrated Photonics Design (f/m/d), Silicon Austria Labs (SAL), Austria

PhD Student - Department of Electronics and Information Systems, Ghent University, Belgium

✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!

✔️ @ApplyTime
🌐 https://applytime.ir

PhD Student - Department of Electronics and Information Systems, Ghent University, Belgium

Doctoral fellow - Department of Electronics and Information Systems, Ghent University, Belgium

✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!

✔️ @ApplyTime
🌐 https://applytime.ir

Postdoc and senior scientist positions in ML and statistical genetics for neuropsychiatric disease

I have open postdoc and senior scientist positions to work on a National Institute of Mental Health funded project to develop latent factor and network models of ​​neuropsychiatric disease genetics. This multidisciplinary project is a collaboration with Dr. Niamh Mullins at the Icahn School of Medicine at Mount Sinai, an expert in neuropsych genetics and member of the Psychiatric Genomics Consortium.

My lab is joint between the New York Genome Center (NYGC) and Columbia University Computer Science and Systems Biology. We develop probabilistic ML and DL methods for genetics and genomics applications. Beyond this specific project there are opportunities for collaboration with diverse genomics research groups at NYGC and the rich ML/AI community at Columbia and across NYC more broadly.

Official job postings are here (but feel free to email me directly if you are interested!)

Staff Scientist (machine learning and statistical genetics), Knowles Lab

Postdoctoral researcher (machine learning and statistical genetics), Knowles Lab

--

David A. Knowles (he/him/his), PhD.
Core Faculty Member, New York Genome Center.
Assistant Professor, Computer Science, Columbia University.

Interdisciplinary Appointee, Systems Biology, Columbia University.

Affiliate Member, Data Science Institute, Columbia University.

https://daklab.github.io/
✔️ @ApplyTime

✔️ @ApplyTime