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and resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven
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details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding. Minimum
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. Strong programming and data analysis skills in Python and PyTorch; solid software engineering habits (git, testing, reproducibility). Demonstrated research independence with one or more first-author
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 13 hours ago
further information about KAUST and postdoctoral life/benefits please visit: https://www.kaust.edu.sa https://www.kaust.edu.sa/en/live/community-life https://bese.kaust.edu. At KAUST, we attract
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and data will be lost. Posting Summary Logo Posting Number RTF00028PO21 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/8219 Business Title Post Doctoral
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neurovascular coupling in health and disease. We are seeking highly skilled and motivated mathematical and/or programming postgraduate students to join our neurovascular research team that is
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if the position has not yet been filled. Position description The Environmental Markets Lab (emLab – https://emlab.ucsb.edu ) and Clean Energy Transformation Lab (CETlab – https://cetlab.es.ucsb.edu
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learning, research, and Extension programming environments where the unique contributions of each individual are acknowledged and valued. At IANR , we see every person and every interaction as important to
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. The IMCI Modeling Core is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https
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models; or precision medicine 2. Strong programming skills in Python, R, SQL, or related languages 3. Experience with omics data, pharmacogenomics data, drug databases, biomedical ontologies