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machine learning, reduced-order modeling, or data-driven modeling of physical systems. You will conduct research on the development of fast, trustworthy, and data-efficient surrogate models that
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recent advances in genetics and genomics, and through collaborations with groups using machine learning. We are developing and applying tools to understand how implicated genes act in neurons and
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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informatics, or related field. • Strong knowledge and experience in natural language processing, machine learning, and deep learning. • Strong written and oral communication skills in English. • Ability to
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, to develop artificial intelligence and machine learning (AI/ML) models that predict therapeutic response, identify clinically actionable patient subgroups, and support personalized treatment
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or interest in structural biology. The Snell Laboratory collaborates closely with AI and classical machine learning developers, and the selected candidate should have expertise or an interest in
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. The project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck : https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons
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research skillset in novel machine learning approaches, we are recruiting a team of outstanding researchers in cloud compute architecture design and event-triggered computing to work with us on
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scientific machine learning. More information about the department can be found at https://uwaterloo.ca/applied-mathematics/. Applications for these fellowships are through the website MathJobs.org
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- Epigenomics, Machine Learning & 3D Genome Biology Employer NYU Langone Health, Skok Lab Location New York City, New York (US) Salary Postdoc: $70,000+ annually, plus benefits; Senior Computational Biologist