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Field
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to: Develop mechanistic and data-driven models to analyse concentration–response relationships and biological readouts from advanced in vitro assays Apply statistical and computational methods to quantify
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. A starting date earlier than fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms of employment are very competitive and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 17 days ago
will work Christopher Knittel (Sloan School of Management and CEEPR). The project will develop empirical models of supply, demand, and international trade conditions for minerals required for the energy
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here: https://nexs.ku.dk/english/research/nutrition-health/lifecourse-nutrition-and-health/ Your job As postdoc you would play a key role in the PREPARE-CHILD study (https://nexs.ku.dk/forskning
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farming, robotics, metrology, cultural heritage, and geomatics. The Data Science for Industry and Physics (DSIP ) Research Unit focuses on applying Data Science methodologies and approaches to develop
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
have a PhD, DrPH (or equivalent) in statistics, biostatistics, computational biology, or a related quantitative field. Required Qualifications, Competencies, and Experience Background in causal inference
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the context of describing your teaching, scholarship, and service Statement of Teaching (Optional) Reference requirements 3-5 required (contact information only) - Apply link: https://recruit.apo.ucla.edu
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femtosecond pump–probe methods, wide-field imaging, and advanced statistical and computational analysis to elucidate structure–function relationships in biological systems. Candidates are expected to have
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, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in
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, often means that many initiatives fail to recognize and integrate the rights, diversity, and impacts on affected groups into coastal initiative design and implementation. To develop evidence-informed, and