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Comparative Social Policy (International) (IMCSP), and an MSocSc Programme in Sociology and Data Analytics (MSoDA), and has been successful in attracting MPhil and PhD students from around the world, as
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accelerators for problems that are not efficiently handled by digital systems, such as AI training, real-time optimization, etc. Key Responsibilities: Defining detailed experimental steps. Conducting experiments
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optimization, digital health adoption, and practice transformation. The opportunity The IT Management Department at the Ted Rogers School of Management (TRSM), Toronto Metropolitan University (TMU), invites
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an MSocSc Programme in Comparative Social Policy (International) (IMCSP), and an MSocSc Programme in Sociology and Data Analytics (MSoDA), and has been successful in attracting MPhil and PhD students from
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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these people live. Basic Qualifications The postdoctoral fellow position requires a PhD in environmental health, environmental engineering, environmental science, microbiology, or a related scientific field by
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for 3 years. Responsibilities The successful candidate will: Develop, optimize and validate advanced 3D cell culture models, including spheroids, organoids and tissue-engineered constructs. Establish
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Skills: Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field
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to characterize and manage fracture connectivity and optimize fluid distribution within granites and sedimentary rocks, maximize heat sweep efficiency, reduce preferential flow through highly conductive fractures
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic