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in MATLAB or Python for simulation/modeling and data analysis. • Experience with COMSOL Multiphysics and/or Lumerical is a plus. • Experiment: Familiarity with ultrafast optics, terahertz generation
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. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data analysis and decision support in plant breeding. •Experience developing AI-enabled decision support tools
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. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data analysis and decision support in plant breeding. •Experience developing AI-enabled decision support tools
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genomics, evolutionary biology, machine learning, or structural bioinformatics Strong programming skills in Python and proficiency in Unix/Linux environments Demonstrated record of publications in peer
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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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Qualifications: • Knowledge and expertise in C++ and Python • Experience in performing coordinated research • Excellent interpersonal skills Brown University provides equal opportunity and prohibits