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. Basic Qualifications Ph.D. or equivalent terminal degree in quantitative, computational, or biomedical discipline. Programming proficiency in Python, Julia, R, or MATLAB ; background in mechanistic
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genomics or a related field, strong skills in Python/R, computational genomics and statistics, and enthusiasm for working with large genomic datasets. The post requires creativity in problem solving, and
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record and sound programming skills in Python. Please ensure you read the Job Description and Person Specification for full details of this role. Further information Please contact Prof Zhong Fan, z.fan @exeter.ac.uk
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data (e.g., Refinitiv, PitchBook, etc.) and experience with experimental or survey-based methods is a plus; experience with programming languages and statistical software (e.g., R, Stata, or Python
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computer programming background who has an interest in ecology and biodiversity conservation, or an ecologist with computational modelling experience (e.g., using R, Python, Matlab). Project funding
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Post-doctoral researcher in aerosols, clouds and their interactions with focus on km-scale modelling
. Strong background and track record in atmospheric physics is essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The
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environment on molecular design projects Skills with python, PyTorch and OpenMM programs Required Application Materials Cover letter CV Names and contact information for 3 professional references
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. Qualifications Required: A Ph.D. degree with focus on computer science or a related field Experience in programming (C/C++ or Java, Python, etc.), ideally in a scientific setting Ability and desire to
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, Engineering, Computer Science, or related field. Programming experience in Python, Matlab, and SQL. Mathematical modeling and data analysis. Machine/Deep learning (e.g. Pytorch, TensorFlow, JAX). City of
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Python or MATLAB. Strong analytical, communication, teamwork, and problem-solving skills, with the ability to work independently in a research environment. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU