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up to four years. The position will remain open until a suitable candidate is found. Requirements: PhD in a quantitative field, such as Mathematical/Computational Biology, Biophysics, Chemical
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, Computer Science, or related discipline. The successful candidate will possess a strong background in Biology, Statistics/Mathematics and/or Computer Science. Extensive experience in software and algorithm
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
clotting. We use a data-driven, interdisciplinary approach that blends our mathematical, computational, and statistical expertise with biology and biochemistry collaborations. We work with numerical and
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that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a postdoctoral position at Uppsala University. The Department of Cell and Molecular Biology is
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Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) | Jena, Th ringen | Germany | 20 days ago
25 May 2024 Job Information Organisation/Company Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) Research Field Biological sciences » Biology
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cross-disciplinary team of scientists, including pharmacologist, biomedical engineer and mathematical modeller under a Wellcome Trust funded research programme. You should have a PhD degree in stem cell
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). The post is funded by BBSRC and is fixed-term for 18 months, expected to start on the 1 of November, 2024. You will be joining a team to carry out both experimental and mathematical modelling research
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cross-disciplinary team of scientists, including pharmacologist, biomedical engineer and mathematical modeller under a Wellcome Trust funded research programme. You should have a PhD degree in stem cell
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experience in the field of microbial metabolic modeling and evidence of interdisciplinary collaborations are a merit. A strong background in mathematical biology is also a strong merit. Application The
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undergraduate research assistants Qualifications: Doctorate in a biology or engineering-related discipline Prior experience in working in a dry lab Exemplary communication skills (both written and oral) Highly