🇬🇧 Post-doctoral Research Fellow Position in Power Grid Security, Warwick University, UK
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7125493268317880321-Jj8z?utm_source=share&utm_medium=member_ios
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https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7125493268317880321-Jj8z?utm_source=share&utm_medium=member_ios
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🇺🇸 PhD Position, John Hopkins University, USA
• Control theory
• Dynamical systems
• Mathematical analysis
• Optimization
• Learning theory
• Power systems
• Power electronics
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7125847378544275456-S27O?utm_source=share&utm_medium=member_ios
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• Control theory
• Dynamical systems
• Mathematical analysis
• Optimization
• Learning theory
• Power systems
• Power electronics
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7125847378544275456-S27O?utm_source=share&utm_medium=member_ios
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Computerscience-europe_Demo.pdf
381.5 KB
☑️ لیست پوزیشن های اروپا در مقاطع مختلف دکتری، پست داک، فرصت مطالعاتی و ریسرچ در رشته کامپیوتر و هوش مصنوعی به همراه لینک پوزیشن و ددلاین
برای تهیه فایل کامل به لینک زیر مراجعه کنین
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برای تهیه فایل کامل به لینک زیر مراجعه کنین
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🇺🇸 PhD Position, University of Southern California, USA
• Psychology
• Neuroscience
• Computer Science
• Engineering
https://www.linkedin.com/posts/azarapply_phd-position-university-of-southern-activity-7126232498618912768-lj3b?utm_source=share&utm_medium=member_ios
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• Psychology
• Neuroscience
• Computer Science
• Engineering
https://www.linkedin.com/posts/azarapply_phd-position-university-of-southern-activity-7126232498618912768-lj3b?utm_source=share&utm_medium=member_ios
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🏴 List of Fully Funded PhDs, University of Edinburgh, Scotland
Adversarial Learning for Industrial Control Systems
Supervisor – Dr Kehinde Babaagba
Defeating complex families of malware using evolutionary based adversarial learning
Supervisor – Dr Kehinde Babaagba
Enhanced Deep Learning and Semantic-based Predictive Analytics for Reactive IoT Applications and Streaming Data
Supervisor – Dr Oluwaseun Bamgboye
Trusted-Edge and Semantic-based Approach for Dependable IoT and Smart Systems
Supervisor – Dr Oluwaseun Bamgboye
Characterising Automatically Generated Text
Supervisor – Dr Peter Barclay
Using Generative AI to Draw Diagrams
Supervisor – Dr Peter Chapman
Visualisation of Computation
Supervisor – Dr Peter Chapman
Generative navigation for autonomous robots using active inference
Supervisor – Dr Brian Davison
Locomotion and navigation strategies for quadrupedal robots
Supervisor – Dr Brian Davison
Continual Learning in Black-Box Optimisation
Supervisor – Professor Emma Hart
Adaptive Robot Behaviours in dynamic and outdoor settings
Supervisor – Dr Leni Le Goff
Evolutionary Robotics: Generating diverse and functional robots by jointly optimising their body-plan and controllers
Supervisor – Dr Leni Le Goff
Capture and Contextualisation of Cultural Heritage Data
Supervisor – Dr Babis Koniaris
Understanding the Drivers and Challenges of DevOps Outsourcing in Context of Client and Vendor Relationship
Supervisor – Dr Saima Rafi
Query Performance Prediction for Neural Information Retrieval: Application to Conversational Search
Supervisor – Dr Md Zia Ullah
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Adversarial Learning for Industrial Control Systems
Supervisor – Dr Kehinde Babaagba
Defeating complex families of malware using evolutionary based adversarial learning
Supervisor – Dr Kehinde Babaagba
Enhanced Deep Learning and Semantic-based Predictive Analytics for Reactive IoT Applications and Streaming Data
Supervisor – Dr Oluwaseun Bamgboye
Trusted-Edge and Semantic-based Approach for Dependable IoT and Smart Systems
Supervisor – Dr Oluwaseun Bamgboye
Characterising Automatically Generated Text
Supervisor – Dr Peter Barclay
Using Generative AI to Draw Diagrams
Supervisor – Dr Peter Chapman
Visualisation of Computation
Supervisor – Dr Peter Chapman
Generative navigation for autonomous robots using active inference
Supervisor – Dr Brian Davison
Locomotion and navigation strategies for quadrupedal robots
Supervisor – Dr Brian Davison
Continual Learning in Black-Box Optimisation
Supervisor – Professor Emma Hart
Adaptive Robot Behaviours in dynamic and outdoor settings
Supervisor – Dr Leni Le Goff
Evolutionary Robotics: Generating diverse and functional robots by jointly optimising their body-plan and controllers
Supervisor – Dr Leni Le Goff
Capture and Contextualisation of Cultural Heritage Data
Supervisor – Dr Babis Koniaris
Understanding the Drivers and Challenges of DevOps Outsourcing in Context of Client and Vendor Relationship
Supervisor – Dr Saima Rafi
Query Performance Prediction for Neural Information Retrieval: Application to Conversational Search
Supervisor – Dr Md Zia Ullah
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🇺🇸 PhD Position, University of Rhode Island, USA
• Physics
• Applied Mathematics
• Mechanical Engineering
• Oceanography
• Fluid Dynamics
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7126243096853438464-oN5c?utm_source=share&utm_medium=member_ios
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• Physics
• Applied Mathematics
• Mechanical Engineering
• Oceanography
• Fluid Dynamics
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7126243096853438464-oN5c?utm_source=share&utm_medium=member_ios
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🇺🇸 PhD Position, Colorado School of Mines, USA
☑️ Petroleum, Civil, or Chemical Engineering
https://www.linkedin.com/posts/azarapply_four-fully-funded-phdpositions-are-open-activity-7126251122956152833-PKca?utm_source=share&utm_medium=member_ios
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☑️ Petroleum, Civil, or Chemical Engineering
https://www.linkedin.com/posts/azarapply_four-fully-funded-phdpositions-are-open-activity-7126251122956152833-PKca?utm_source=share&utm_medium=member_ios
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🇳🇿 PhD Position, Victoria University of Wellington (VUW), New Zealand
• Engineering
• Mathematics
• Computer Science
• Social Sciences
https://www.linkedin.com/posts/azarapply_school-of-engineering-and-computer-science-activity-7126255328530153472-UNmy?utm_source=share&utm_medium=member_ios
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• Engineering
• Mathematics
• Computer Science
• Social Sciences
https://www.linkedin.com/posts/azarapply_school-of-engineering-and-computer-science-activity-7126255328530153472-UNmy?utm_source=share&utm_medium=member_ios
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🇺🇸 PhD Position, University of Oklahoma, USA
• Environmental Science
• Civil Engineering
• Atmospheric Science
• Energy Engineering
• Climate Science
https://www.linkedin.com/posts/azarapply_thesustainable-urban-futures-surf-lab-activity-7126693810851487744-RO4B?utm_source=share&utm_medium=member_ios
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• Environmental Science
• Civil Engineering
• Atmospheric Science
• Energy Engineering
• Climate Science
https://www.linkedin.com/posts/azarapply_thesustainable-urban-futures-surf-lab-activity-7126693810851487744-RO4B?utm_source=share&utm_medium=member_ios
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🇺🇸 PhD/MSc Position, University of North Texas, USA
☑️ Clinical Psychology
👩🏫 Dr. Dr. Holly F. Levin-Aspenson:
I'II be recruiting one clinical psychology grad student for next year (applications due Dec. 1)!
Applications are particularly encouraged from folks with strong interests in psychometrics/ assessment/scale development.
apply.psychology.unt.edu
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☑️ Clinical Psychology
👩🏫 Dr. Dr. Holly F. Levin-Aspenson:
I'II be recruiting one clinical psychology grad student for next year (applications due Dec. 1)!
Applications are particularly encouraged from folks with strong interests in psychometrics/ assessment/scale development.
apply.psychology.unt.edu
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🇩🇪 PhD Position at the University of Bonn
• Statistics
• Data Science
• Mathematics
• Computer Science
• Related fields with a genuine interest in applications in life sciences
The Working Group on Statistical Methods in Epidemiology at the Department
of Medical Biometry, Informatics, and Epidemiology (IMBIE) at the
The University of Bonn offers a PhD position (TV-L E13, 100%) in the area of statistical methodology and biostatistics. The group is seeking applicants (m/f/d) with an outstanding degree in statistics, data science, mathematics, computer science, or a related field with a genuine interest in applications in life sciences. Please find the detailed announcement at:
imbie.uni-bonn.de/wp-content/upl…
For further information, please contact Andreas Mayr via email at amayr@uni-bonn.d
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• Statistics
• Data Science
• Mathematics
• Computer Science
• Related fields with a genuine interest in applications in life sciences
The Working Group on Statistical Methods in Epidemiology at the Department
of Medical Biometry, Informatics, and Epidemiology (IMBIE) at the
The University of Bonn offers a PhD position (TV-L E13, 100%) in the area of statistical methodology and biostatistics. The group is seeking applicants (m/f/d) with an outstanding degree in statistics, data science, mathematics, computer science, or a related field with a genuine interest in applications in life sciences. Please find the detailed announcement at:
imbie.uni-bonn.de/wp-content/upl…
For further information, please contact Andreas Mayr via email at amayr@uni-bonn.d
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🇺🇸 PhD Position, Indiana University, USA
• Psychology
• Early Childhood Education
• Cognitive Science
• Developmental Psychology
• Mathematics Education
• Education Research
• Related fields in education and psychology
👩🏫 Dr. Elizabeth Gunderson:
I am excited to be recruiting new PhD students to Indiana University to study preschool numeracy, math language, executive functioning, spatial skills, beliefs about effort, and more. Prospective students, please reach out if you are interested!
eagunder@iu.edu
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• Psychology
• Early Childhood Education
• Cognitive Science
• Developmental Psychology
• Mathematics Education
• Education Research
• Related fields in education and psychology
👩🏫 Dr. Elizabeth Gunderson:
I am excited to be recruiting new PhD students to Indiana University to study preschool numeracy, math language, executive functioning, spatial skills, beliefs about effort, and more. Prospective students, please reach out if you are interested!
eagunder@iu.edu
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🇺🇸 Ph.D. Research Assistant in Fruit Biology/Postharvest Spring/Fall 2024, University of Maryland, Department of Plant Sciences, College Park
The Fruit Quality Lab in the Department of Plant Sciences at the University of Maryland, College Park is inviting applications for a PhD research assistant to start Spring/Fall 2024.
The selected candidate will work on unraveling the key mechanisms involved in the development of physiological disorders in apples, using multidisciplinary approaches. Full scholarship will be provided including competitive stipend, tuition and fringe benefits.
Qualifications: Applicants should have a B.S. and/or M.S. in plant science, horticulture, plant molecular biology, plant biochemistry, food science or another related field of study. Experience in standard molecular biology and biochemical techniques, data analysis, and background in fruit crops are essential. Experience with analytical chemistry is a plus. The successful candidates should possess excellent writing and communication skills. The candidate will be organized, creative, and excited about working independently and in a collaborative group environment.
Application: Please send the following documents to Dr. Macarena Farcuh (mfarcuh@umd.edu): (a) Curriculum vitae, (b) Letter of Intent, (c) Copy of trannoscripts, (d) Names & Contact Information of 3 references.
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The Fruit Quality Lab in the Department of Plant Sciences at the University of Maryland, College Park is inviting applications for a PhD research assistant to start Spring/Fall 2024.
The selected candidate will work on unraveling the key mechanisms involved in the development of physiological disorders in apples, using multidisciplinary approaches. Full scholarship will be provided including competitive stipend, tuition and fringe benefits.
Qualifications: Applicants should have a B.S. and/or M.S. in plant science, horticulture, plant molecular biology, plant biochemistry, food science or another related field of study. Experience in standard molecular biology and biochemical techniques, data analysis, and background in fruit crops are essential. Experience with analytical chemistry is a plus. The successful candidates should possess excellent writing and communication skills. The candidate will be organized, creative, and excited about working independently and in a collaborative group environment.
Application: Please send the following documents to Dr. Macarena Farcuh (mfarcuh@umd.edu): (a) Curriculum vitae, (b) Letter of Intent, (c) Copy of trannoscripts, (d) Names & Contact Information of 3 references.
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🇳🇱 PhD Position, National Institute for Public Health and the Environment, Netherlands
• Epidemiology
• Behavioral Science
• Public Health
• Infectious Disease Research
• Social Sciences
• Health Sciences
• Related interdisciplinary fields
https://www.werkenvoornederland.nl/vacatures/phd-behavioural-science-and-infectious-disease-epidemiology-RIVM-2023-0267
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• Epidemiology
• Behavioral Science
• Public Health
• Infectious Disease Research
• Social Sciences
• Health Sciences
• Related interdisciplinary fields
https://www.werkenvoornederland.nl/vacatures/phd-behavioural-science-and-infectious-disease-epidemiology-RIVM-2023-0267
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🇺🇸 PhD Position, University of Arizona, USA
• Mechanical Engineering
• Materials Engineering
• Al/ML (Artificial Intelligence and Machine Learning) for advanced materials development
• ML-guided experiments
• Autonomous and robotic experimentation
• Python expertise
• Experience with LabVIEW and MATLAB
• Electrochemistry (optional but a plus)
• Materials characterization (optional but a plus)
👨🏫 Dr. Majid Beidaghi:
I have an opening for a postdoctoral researcher to join my group at the University of Arizona, starting in Spring 2024 or sooner. We are looking for a highly motivated individual with a PhD in Mechanical Engineering, Materials Engineering, or a related field, and a track record of published research in Al/ML for advanced materials development, ML-guided experiments, or autonomous and robotic experimentation. The candidate should be an expert in Python and experienced with LabVIEW and MATLAB. While not required, experience in electrochemistry or materials characterization will be a plus. The role offers a chance to contribute to a funded, high-impact project on materials discovery and novel manufacturing process development. If you're interested and feel qualified, please reach out to me at beidaghi@arizona.edu for more details about this opportunity.
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• Mechanical Engineering
• Materials Engineering
• Al/ML (Artificial Intelligence and Machine Learning) for advanced materials development
• ML-guided experiments
• Autonomous and robotic experimentation
• Python expertise
• Experience with LabVIEW and MATLAB
• Electrochemistry (optional but a plus)
• Materials characterization (optional but a plus)
👨🏫 Dr. Majid Beidaghi:
I have an opening for a postdoctoral researcher to join my group at the University of Arizona, starting in Spring 2024 or sooner. We are looking for a highly motivated individual with a PhD in Mechanical Engineering, Materials Engineering, or a related field, and a track record of published research in Al/ML for advanced materials development, ML-guided experiments, or autonomous and robotic experimentation. The candidate should be an expert in Python and experienced with LabVIEW and MATLAB. While not required, experience in electrochemistry or materials characterization will be a plus. The role offers a chance to contribute to a funded, high-impact project on materials discovery and novel manufacturing process development. If you're interested and feel qualified, please reach out to me at beidaghi@arizona.edu for more details about this opportunity.
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🇺🇸 Spring 2024 PhD Position at Texas Tech University
• Mechanical Engineering
• Electrical Engineering
• Chemical Engineering
• Materials Science
• Chemistry
• Physics
• Related fields in engineering and physical sciences
One PhD position is available in the Ahmad Materials and Energy Research Group
(AMERG) in the Mechanical Engineering Department at Texas Tech University starting in Jan 2024. AMERG is dedicated to fundamental material discoveries and developing innovative tools to accelerate the transition to renewable energy.
This opening is for computational research at the interface between materials and machine learning. The selected candidate will work with Dr. Zeeshan Ahmad on the following topics:
Development and implementation of machine learning interatomic potentials for simulating long-range interactions in periodic systems
First-principles method development and simulations of semiconductors and battery materials
More information about research and publications can be found at ahzeeshan.github.io/.
Required qualifications
A bachelor's or master's degree in mechanical/electrical/chemical engineering, materials science, chemistry, physics, or a related field
Strong programming skills and experience in one or more of Python, C++, MAT-LAB, Fortran, Julia. Ideal candidates will have experience with machine learning libraries such as PyTorch, TensorFlow, JAX, scikit-learn.
Strong mathematical background and analytical skills
Interest in materials and methods for energy sustainability and decarbonization
Interested candidates should apply to the PhD program in Mechanical Engineering at Texas Tech University using this link: https://www.depts.ttu.edu/gradschool/admissions/howtoapply.php and email Dr. Ahmad at zeeahmad@ttu. edu with their
CV and trannoscript using the subject "PhD-Spring24-ML. Applications will be reviewed immediately upon receipt. Applications from underrepresented minorities are encour-aged. Texas Tech is classified as an RI research institution (very high research activity) by the Carnegie Classification of Institutions of Higher Education.
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• Mechanical Engineering
• Electrical Engineering
• Chemical Engineering
• Materials Science
• Chemistry
• Physics
• Related fields in engineering and physical sciences
One PhD position is available in the Ahmad Materials and Energy Research Group
(AMERG) in the Mechanical Engineering Department at Texas Tech University starting in Jan 2024. AMERG is dedicated to fundamental material discoveries and developing innovative tools to accelerate the transition to renewable energy.
This opening is for computational research at the interface between materials and machine learning. The selected candidate will work with Dr. Zeeshan Ahmad on the following topics:
Development and implementation of machine learning interatomic potentials for simulating long-range interactions in periodic systems
First-principles method development and simulations of semiconductors and battery materials
More information about research and publications can be found at ahzeeshan.github.io/.
Required qualifications
A bachelor's or master's degree in mechanical/electrical/chemical engineering, materials science, chemistry, physics, or a related field
Strong programming skills and experience in one or more of Python, C++, MAT-LAB, Fortran, Julia. Ideal candidates will have experience with machine learning libraries such as PyTorch, TensorFlow, JAX, scikit-learn.
Strong mathematical background and analytical skills
Interest in materials and methods for energy sustainability and decarbonization
Interested candidates should apply to the PhD program in Mechanical Engineering at Texas Tech University using this link: https://www.depts.ttu.edu/gradschool/admissions/howtoapply.php and email Dr. Ahmad at zeeahmad@ttu. edu with their
CV and trannoscript using the subject "PhD-Spring24-ML. Applications will be reviewed immediately upon receipt. Applications from underrepresented minorities are encour-aged. Texas Tech is classified as an RI research institution (very high research activity) by the Carnegie Classification of Institutions of Higher Education.
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🇺🇸 PhD Position, Syracuse University, USA
• Exercise Physiology
• Kinesiology
• Neuromuscular Physiology
• Gerontology
• Biomechanics
• Rehabilitation Sciences
• Related fields in physiology and aging studies
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7126732280559001600-80dQ?utm_source=share&utm_medium=member_ios
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• Exercise Physiology
• Kinesiology
• Neuromuscular Physiology
• Gerontology
• Biomechanics
• Rehabilitation Sciences
• Related fields in physiology and aging studies
https://www.linkedin.com/posts/azarapply_%D8%A2%D8%B0%D8%B1-%D8%A7%D9%BE%D9%84%D8%A7%DB%8C-azarapply-activity-7126732280559001600-80dQ?utm_source=share&utm_medium=member_ios
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🇺🇸 PhD Position, Lehigh University, USA
• Psychology
• Social Work
• Counseling
• Public Health
• Sociology
• Health Services Administration
• Social Sciences
• Community Health
• Mental Health Counseling
👩🏫 Dr. Vanesa Mora Ringle:
I will be reviewing applications to potentially accept a third (😮😎) PhD student into my lab in the Counseling Psych program
You can find more about our lab here:
https://www.healtogetherlab.org/
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• Psychology
• Social Work
• Counseling
• Public Health
• Sociology
• Health Services Administration
• Social Sciences
• Community Health
• Mental Health Counseling
👩🏫 Dr. Vanesa Mora Ringle:
I will be reviewing applications to potentially accept a third (😮😎) PhD student into my lab in the Counseling Psych program
You can find more about our lab here:
https://www.healtogetherlab.org/
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🇺🇸 PhD Position, New York University, USA
• Computer Science
• Computer Engineering
• Data Science
• Artificial Intelligence
• Electrical Engineering
• Statistics
• Mathematics
• Cognitive Science
• Neuroscience
• Biomedical Engineering
• Physics (for applications in sciences)
• Medicine (for applications in medicine)
• Any related interdisciplinary fields with an emphasis on machine learning and deep learning
https://www.linkedin.com/posts/azarapply_pavel-izmailov-activity-7126872145237819392-35U-?utm_source=share&utm_medium=member_ios
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• Computer Science
• Computer Engineering
• Data Science
• Artificial Intelligence
• Electrical Engineering
• Statistics
• Mathematics
• Cognitive Science
• Neuroscience
• Biomedical Engineering
• Physics (for applications in sciences)
• Medicine (for applications in medicine)
• Any related interdisciplinary fields with an emphasis on machine learning and deep learning
https://www.linkedin.com/posts/azarapply_pavel-izmailov-activity-7126872145237819392-35U-?utm_source=share&utm_medium=member_ios
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🇨🇦 PhD/MSc Position, University of Victoria, Canada
☑️ Medical Physics
http://web.uvic.ca/~bazalova/
🏛 آذراپلای: مرجع تحصیل در خارج
🌐 AzarApply.ir
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☑️ Medical Physics
http://web.uvic.ca/~bazalova/
🏛 آذراپلای: مرجع تحصیل در خارج
🌐 AzarApply.ir
🆔 @AzarApply