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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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deployment; building research software (e.g., Python packages, database systems) and other open-source tools for computational social science research. Other potentially relevant experiences and skills include
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environmental and ecological data; knowledge of, or interest in, statistical data analysis using programming tools (R, Python, MATLAB, or equivalent); and the ability to work collaboratively in interdisciplinary
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 16 days ago
YOU MUST APPLY TO THIS POSTING AT THIS APPLICATION SITE ONLY : https://www.utsc.utoronto.ca/webapps/cupehiring/dept/cms/app/sl If you have any issues applying, please contact Kelly Squier
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Premila’s research group (https://sites.google.com/view/premila-research
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(ideally in Python and C++) Excellent mathematical and data analytics skills Ability to work independently and be self-motivated, but also have excellent teamwork skills Experience in medical image
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particular to separate natural variations and technical noise Expertise with geomagnetic activity indices, in particular Kp and Hpo Programming skills in Matlab and Python Very good command of English (spoken
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 12 days ago
science, or a related field Strong background in signal processing, data analysis, and statistical modeling Programming skills in Python and experience with reproducible workflows Experience working with
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. To present their work at seminars and at external meetings. To contribute to the Donders scientific community through collaborations, workshops and talks. Where to apply Website https
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architectures adapted for biomedical applications; and using Python, SQL, PySpark, AWS cloud computing environment, Databricks, Git-based workflows, R and SAS. Michigan Medicine conducts background screening and