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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. The ideal candidate should demonstrate a record of publications in the area. Knowledge in
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recently submitted the PhD thesis or is about to submit the thesis is encouraged to apply. A strong computational background, proficiency in R and at least one additional scripting language (e.g., Python
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, mathematics, physics, or a related field. The ideal candidate should demonstrate a record of publications in the area. Strong knowledge in machine learning, statistics and programming skills (R, Python
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Python/MySQL for big data. Experience with engineering solutions for large-scale experiments in neuroscience. Required Application Materials: CV Cover Letter Interest Statement Stanford is an equal
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a related field. Strong background in machine learning, deep learning, and natural language processing (NLP), with a focus on large language models. Proficiency in Python and machine learning
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expertise in molecular and cell biology are encouraged to apply. Basic to advanced experience with computational analysis and R/Python. Excellent oral and written communication skills and be able to work
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, or a related field with a focus on image and signal processing. Strong knowledge in bioinformatics, machine learning, statistics and programming skills (Python, or C++) are required. A strong background
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and prior DNA repair experience will be prioritized. Basic to advanced experience with R and/or Python. Excellent oral and written communication skills and be able to work effectively with collaborating
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(e.g., R, Stata, Python). • Excellent written and verbal communication skills. • Demonstrated ability to work independently and as part of a team. Preferred (but not Required): Experience conducting
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programming skills in Python or similar languages (e.g. Julia), and familiar with 1-2 industrial geospatial tools (e.g. SKUA-GOCAD, LeapFrog, ArcGIS, QGIS, or others). Being a quick learner with demonstrated