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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 5 hours ago
weather prediction. * Demonstrate strong scientific programming skills and the ability to develop and evaluate computational methods. * Communicate effectively and contribute to a collaborative research
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 2 days ago
prior to the start of the fellowship. * Have an excellent scientific record of research in one or more of the areas of interest above. * Demonstrate strong computational/programming skills relevant to
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mandatory. Strong proficiency in data analysis and programming (Igor Pro, Python, MATLAB, etc.). Prior experience with molecular biology or protein biochemistry (cloning, expression, purification) is
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genomics, statistical genetics or genomic data analysis. · Strong quantitative and programming skills, with experience in R, Python or comparable scientific computing environments. · A record of rigorous
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administrative data. Experience with large language models, natural language processing, medical text mining, or clinical AI. Strong programming skills in Python and/or R. Familiarity with medical terminology
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, and DNA methylation profiling. · Proficiency in bioinformatics programming and workflow development using languages such as Python, R, and Bash. · Experience developing, implementing, and
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LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with medical imaging or genomic datasets is an asset. Excellent communication skills
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, or a similar scripting and visualization language. Experience with high performance computing. Strong competence in programming with C/C++ or Fortran for model development & debugging. Competence in
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quantitative discipline. In addition, the successful candidate will demonstrate: Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. Hands-on experience