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with electronic health record (EHR) and/or clinical data. Proficiency in Python, with strong coding and debugging skills. Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow
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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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Organization U.S. Department of Energy (DOE) Reference Code DOE-OREM-ESPSE-24 How to Apply A complete application consists of: An application Transcripts A current resume including academic history
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Department Name PHARMACOLOGY Location Code PHARMACOLOGY (06230A) Is this split and/or fully grant funded? Yes Duties and Responsibilities The Department of Molecular Pharmacology and Neuroscience at Loyola
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: Ph.D. in atmospheric science, meteorology, or climate science Proficiency in Python coding and visualization Familiarity with large reanalysis datasets Preferred Qualifications Work experience beyond
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, Sociology, or Design. Expertise in quantitative (e.g.., survey analysis) and qualitative (e.g., interviews and coding) social science research methods. Experience with sustainability assessments, such as life
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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beneficial mortgages and good insurance schemes. Salary in position as Postdoctoral Fellow, position code 1352 in salary range NOK 590 000 - 670 000, depending on competence and experience. From the salary, 2
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Department Name CHEMISTRY & BIOCHEMISTRY Location Code CHEMISTRY & BIOCHEMISTRY (02113A) Is this split and/or fully grant funded? Yes Duties and Responsibilities The Research Team is seeking a Post-Doctoral
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
fluorescence spectroscopy. Jobdescription The postdoc will first incorporate donors and acceptors by a genetic code expansion approach, introduction of free cysteines and insertion of peptide tags for labelling