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learning, deep learning, and statistical inference Experience with frameworks such as TensorFlow, PyTorch or Keras Experience with programming languages such as Python Full command of English (English level
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rheometry of polymer melts Troubleshooting of various polymer processing methods in the context of the circular economy Control engineering and automation; programming in Python, MATLAB, etc.; basic knowledge
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Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics. Job
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), Excel (VBA and macro automation), SQL, and Python. Assist with data analysis and preparation of results (tables and charts) for presentations, publication, or reports including internet distribution using
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, and Karl Henrik Johansson are proposed to supervise the doctoral student. Decisions are made on admission Where to apply Website https://kth.varbi.com/se/what:job/jobID:915563/ Requirements Research
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particular simulation-based inference), strong programming skills in Python and experience with HPC environments. Experience with galaxy redshift surveys and/or gamma-ray astrophysics is desirable. We welcome
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/statistics, operations management/supply chain, python programming, computer networking, systems admin, digital innovation, systems analysis & design Optional (if available): Recent teaching evaluations
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contributor in technology governance and long-term IT strategy. The full job description is available, here: https://www.dropbox.com/scl/fi/wsfq3tkylrvbj54db5aoi/Principal-SW-Engr-Final-updated-12-19-25.docx
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at http://kaczorowski.lab.medicine.umich.edu or on Twitter @KaczorowskiLab. Responsibilities* The successful candidate will be able to plan, develop, execute, and analyze an independent research project in
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AI and in silico methods (Ref. LISBOA2030-FEDER-00719600; 2023.18347.ICDT and DOI https://doi.org/10.54499/2023.18347.ICDT ), co-funded by Lisboa2030, Portugal2030 and by the European Union and by