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Field
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ATAC sequencing, spatial transcriptomics, proteomics, whole-genome sequencing, functional screens, bioinformatics, and/or data algorithms including machine learning will be given preference. A successful
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or machine learning methods Advanced knowledge of electronic healthcare records and their use in development and validation of risk prediction models Knowledge in application of econometrics in research
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Postdoctoral Research Fellow in machine learning for gene therapy Apply for this job See advertisement About the position A three-year position as Postdoctoral Research Fellow in machine learning for gene
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relations, and broadcasting. Central has been a pioneer in extended learning for nearly 50 years, and its online programs for undergraduates and the military, as well as its online MBA and online graduate
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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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, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of an epidemiologist mentor, you will be involved with and learn how to: Collect, evaluate and provide
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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