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position focuses on advancing the integration of gene regulatory network (GRN) simulations into multicellular and tissue-level systems using machine learning—particularly graph neural networks (GNNs) and
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on advancing the integration of gene regulatory network (GRN) simulations into multicellular and tissue-level systems using machine learning—particularly graph neural networks (GNNs) and reinforcement learning
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Department: Mechanical, Industrial, and Mechatronics Engineering Position supervisor: Dr. Seth Dworkin Contract length: 6 months, with possibility of renewal up to 2 years Hours of work per week: 36.25 Position type: Postdoctoral Fellow Rate of pay: $67,500 per annum About Toronto Metropolitan...
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? How is it best understood as an ethical theory? What is virtue, and what are the virtues? What is practical knowledge or wisdom? How can it be cultivated? How do particular virtues like love, humility
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) discipline (includes computer science and mathematics). Secure a supervisor (and co-supervisor, if applicable) who has a full-time budgetary tenure-stream appointment or a status-only appointment at
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, electrical engineering, applied mathematics, or a related field. Significant experience and publication on AI and image processing is a requirement. Experience with foundation models, explainable AI and/or
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. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum
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medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with significant research experience and deep familiarity with AI
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imaging QUALIFICATIONS Successful applicants will have: a PhD in medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with
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/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK