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Field
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be employed by any other institution for the time of the fellowship. Experience with AI-related research and/or innovation is an advantage. Experience in machine learning is a requirement. Experience
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); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is
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students. Selection criteria: • PhD/DPhil in a relevant field (or near completion). • Strong project management and communication skills. • Multidisciplinary and collaborative mindset
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students. Selection criteria: PhD/DPhil in a relevant field (or near completion). Strong project management and communication skills. Multidisciplinary and collaborative mindset. Commitment to EDI and
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To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in health data science, medical statistics or machine learning methods
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The Computational Neuropsychology & Simulation (CNS ) Lab and Dr. Thomas D. Parsons, PhD invites applications for a postdoctoral fellow focused on research in social neuroscience, computer science
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, virtual screening, molecular docking, structure-activity relationship analysis, and machine learning. Candidates should embrace opportunities to tackle new problems and challenges as part of a dynamic team
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Conserved Binding Sites: A Case Study Using N-Myristoyltransferases as a Model System. J Med Chem. 2020). The lessons learned from the validation shall also be used to develop improved methods. About the LEAD
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responsiveness of applications; Diagnosing the issue and resolving it on demand. Job Requirements: PhD Degree with 5 years working experience in computer science, computer engineering, electrical engineering
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of machine learning and adaptive control algorithms is highly desirable. Good communication skills and ability to work well in a team environment. We regret to inform that only shortlisted candidates will be