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must have a research program with a strong record of peer-reviewed publication using advanced computational methods (such as computational modeling, machine learning, AI, or algorithm development
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Machine Learning. Our mission is to connect that wide umbrella of backgrounds to reimagine cancer treatment strategies. In this position, you will be working alongside an experienced chemical biologist
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of large libraries of compounds (e.g. those designed and generated through automated synthesis, computer-based design, and machine learning) and supports users by providing full-time professional staff and a
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research experience, preferably in programming languages, compilers, applied mathematics, and optimization techniques a strong background in compiler, code generation, and machine learning would be
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limited to) molecular and cellular imaging, synthetic biology and computational and machine learning approaches. The predominant criteria for appointment in the University Tenure Line are a major commitment
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cloning, managing repositories, branching, and implementing collaborative and reproducible data analysis workflows. Experience in applying machine learning or AI approaches to genomics data (e.g. BLUP
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Professor, or Full Professor) in the area of data science and artificial intelligence for materials design and innovation. We seek candidates whose research focuses on the development of machine learning
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in medicine and other study programmes and graduate initiatives in which the Faculty of Medicine is involved is expected. Beyond the core research area, the appointee will also teach in all degree
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existing SC analysis tool, by integrating machine learning and benchmarking components, thus helping evolve it into a market-ready solution capable of real-time threat intelligence and adaptive vulnerability
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experience in AI teaching We understand AI very broadly – and adequate experience would include most topics in modern statistics and topics like Bayesian Machine Learning and Simulation Based Inference (a past