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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with
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, Photoshop), R, and/or Python. • Ability to work effectively with faculty, staff, and students from a variety of diverse backgrounds. • Ability to contribute to institutional diversity, equity, and inclusion
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, natural language processing, medical text mining, or clinical AI. Strong programming skills in Python and/or R. Familiarity with medical terminology, ICD codes, phenotype extraction, or HPO. Ability to work
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using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required
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science related discipline. You will possess established expertise in data analysis including statistical programming (e.g., STATA, RStudio, Python). You will demonstrate previous experience of contributing
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arising from finite fields, projective and polar spaces, and related structures. Apply computational methods (e.g. Magma, GAP, SageMath, Python) to test conjectures and explore new mathematical directions
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experience in genetic manipulation of microorganisms Competences and experience in advanced statistics (e.g., multivariate statistics, GLMs) and programming (e.g., python, R) Publication(s) from earlier
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relevant programming language (e.g., R or Python). Strong written and oral communication skills. Experience managing multiple projects at once. Willingness to learn new technical skills and gain knowledge in
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computing (Linux) environments, including shell scripting. Strong programming and data analysis skills (e.g., Python, Fortran, R). Demonstrated ability of scholarly output (peer-reviewed publications and
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models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English