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Postdoctoral Position in the Interactive Media Lab at the University of Toronto

Re-posting to the post-doc category.  Note revised due date of *May 11*.  All applicants with user interface / machine learning experience welcome.  Please send cover letter and CV to Dr. Mark Chignell at chignell@mie.utoronto.ca if interested. 

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Machine Learning Postdoctoral Position at U. of Toronto (Interactive Media Lab in Industrial Engineering) 

We are seeking a postdoctoral candidate who holds a PhD in engineering or computer science, to work in the area of innovative user interfaces between humans and smart agents. Experience in machine learning, mixed integer linear programming optimization, deep learning, Bayesian networks, data mining, or a related data-processing field is required. Strong programming skills are required. Familiarity with Android operating system is preferred

Experience with human factors and user interface design is an asset. The main role of the candidate will be to collaborate with an industry partner and the university research team members on the development of novel user interfaces for an intelligent smart phone assistant. An additional role is to provide strong leadership to MASc and PhD students in the team. 

Excellent communication skills, strong independent research skills, and sensitivity to industry partner direction are required. The candidate will be expected to work independently, provide leadership to an interdisciplinary team of graduate students, produce publishable results, and publish frequently. 

Initial funding for 1 year is available. An extension of funding to 2 years is possible, depending on project success and availability of funds. 

The application package (to be emailed to Prof. M. Chignell) should include a cover letter and CV, including a list of 3 professional references. 

**Deadline: May 11, 2018 

Dr. Mark Chignell
Professor, Industrial Engineering and Computer Science
Department of Mechanical & Industrial Engineering 
Faculty of Applied Science & Engineering 
University of Toronto 
5 King's College Road 
Toronto, ON Canada M5S 3G8 

Phone:  +1 (416) 978-8951 
(No Voicemail, send messages by email)
Fax:    +1 (416) 978-7753 
Email:  chignell@mie.utoronto.ca 
Web:    https://www.mie.utoronto.ca/mie/faculty/chignell
https://imedia.mie.utoronto.ca/

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Postdoc position in data mining and machine learning

Applications are invited for a postdoctoral fellow position of “data mining and machine learning” in the Department of Ophthalmology and the Department of Genetics, Genomics, and Informatics (GGI) at the University of Tennessee Health Science Center in Memphis. The candidate will be supervised jointly by Drs. Rob Williams, Siamak Yousefi, and Hao Chen (part of the center of excellence in machine learning). The highly-motivated postdoctoral fellow will work in broad computational ophthalmology and computational biology areas. We are currently working on retinal functional, structural, and genomic data utilizing both classical machine learning approaches and the state-of-the-art deep learning. We have access to large datasets in our centers and across the world. The Department of Ophthalmology and the Department of Genetics, Genomics, and Informatics extended research teams provide a highly dynamic and collaborative environment fostering scientific breakthroughs. This position is for a one-year appointment with the potential to be renewed.

Job

Postdoctoral Fellows

Primary Location

US-Tennessee-Memphis

Organization

Genetics, Genomics & Informatics

Campus/Institute

Memphis

Schedule

Full-time

Job Posting

Apr 5, 2018, 11:33:42 AM

The candidate must have obtained his/her Ph.D. degree in computer science, data science, software engineering, computer engineering, electrical engineering, bioinformatics, or similar fields. We are expecting high motivation and ability to work independently, as well as part of a research team. The candidate must have acquired a solid publication record and have excellent writing skills. Strong verbal and communication skills in English are required. The candidate will play a major role in the preparation of manunoscripts and grants that arise from this work.

Research experience in machine learning, data mining, statistical methods, and computing is required. The prospective candidates should be highly experienced in Python and R programming. Preference will be given to candidates with knowledge of Google Tensorflow backend (or other similar backends) and Keras deep learning library (or other similar libraries). Experience in Matlab programming or past vision/genetic research is a plus.

For More Information See

https://academic.uthsc.edu/faculty/Robert_Williams.html

https://academic.uthsc.edu/faculty/facepage.php?netID=syousef1&personnel_id=351869

https://syousefy.wixsite.com/yousefilab

https://www.uthsc.edu/neuroscience/faculty/h_chen.php

To apply, please send a CV, a cover letter describing your previous work and career goals, putative starting date and the contact information for three references tosiamak.yousefi@uthsc.edu .

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Funded PhD programmes; in the field of Statistical / Machine Learning; at University of Wollongong; in Australia

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Funded PhD programmes; in the field of Chemistry and Food Chemistry; at Technische Universität Dresden; in Germany

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Funded Postdoctoral programme; in the field of CNatural Diversity RCUK Grow Colombia; at Earlham Institute; in UK

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Funded PhD programme; in the field of The Molecular Basis of Diatom Adhesion and Motility; at Technische Universität Dresden; in Germany

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Full and Partial IED Undergraduate Scholarships bachelor’s degree programme; in the fields of Design, Fashion, Visual Arts, Communication and Restoration; at Milan, Cagliari, Como, Florence, Rome, Turin, and Venice Universities; in Italy

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Scholarships masters, MPhil/PhD degree programme; in various fields; at SOAS University of London; in UK

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Scholarships for Foundation and Diploma programme; in various fields; at University Pathway; in Australia

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Harnessing a cancer patient’s immune system to fight their disease is a promising new frontier in cancer treatment. Our multi-site machine learning group is collaborating with experts in cancer immunotherapy at several leading cancer centers and universities (https://www.standuptocancer.org/press_release/view/Convergence_Teams_Microsoft). Our goal is to figure out how to better target therapies to patients by learning from biomedical data. We have an open RA position starting immediately. This is a contract position through June 30, 2019, with potential to extend. The position is ideal for a recent undergraduate or M. Eng student wishing to gain research experience prior to pursuing a Ph.D. Interviews will start immediately. 


https://www.microsoft.com/en-us/research/publication/cancer-immunotherapy-machine-learning-research-assistant-job-denoscription/

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Harnessing a cancer patient’s immune system to fight their disease is a promising new frontier in cancer treatment. Our multi-site machine learning group is collaborating with experts in cancer immunotherapy at several leading cancer centers and universities…
The national research council (NRC) Canada is looking for three researchers (“research officers") in machine learning applied to natural language processing, computer vision, engineering and a few other fields.

NRC is a great place for young researchers to develop while maintaining contact with university, and have an impact in real-world applications.

If you have a PhD, significant experience designing and building novel Machine Learning/AI systems, and a good publication record in top conferences and journals, let us know by applying from the official posting page:
https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Ottawa-Machine-Learning%2C-Research-Officer-ON/357572817/

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Scholarships for MBA programme; in the field of business administration; at University of Cambridge; in UK

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