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minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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not intended to be a complete list of all responsibilities, duties, and skills required. Management reserves the right to revise the job or require different tasks to be performed as assigned to reflect
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English. Programming skills (e.g. Python, R). Ability to work in teams and high social/communicative skills. Strong interest in planning, carrying out, and presenting independant research. High commitment
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languages (e.g. FORTRAN, Python) is required. A strong background and experience in operating, analysing and visualising large datasets is desired. Track record of peer reviewed publications in high level
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nature of work but is not intended to be a comprehensive list of all activities, duties and responsibilities required. Develop and implement power system modeling tools, with emphasis on simulation and
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/or high-throughput data processing generated by NGS sequencing, HPLC/MS techniques, or digital phenotyping systems. Familiarity with computational and bioinformatics tools such as R, Python
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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record of publications in leading international scientific journals (Q1) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong