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, population ecology, spatial ecology, mathematical biology, or other similar fields. Demonstrated experience building and analyzing mathematical and statistical models aimed at answering biological, ecological
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of the cell wall on the kinetics of ice growth. This is a unique opportunity to work at boundaries between physical chemistry and biology, in a research group with a very prominent profile in the ice community
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Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) | Jena, Th ringen | Germany | 12 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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at CBU, in the “Causal inference in computational and systems biology group” headed by Prof. Tom Michoel. The work will contribute to CBU’s research themes “Mathematical modelling” and “Precision medicine
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administration and assist in grant writing as required. Supervise PhD and undergraduate student projects as required. Job Requirements: PhD Degree in Physics/Mathematics/Engineering, or related disciplines. Active
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support for research activities as needed. Minimum Qualifications Bachelor's Degree in related discipline. Preferred, MS in mathematics, computational biology or equivalent experience. Experience: Some
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8 May 2024 Job Information Organisation/Company CNRS Department Centre interdisciplinaire de recherche en biologie Research Field Biological sciences Environmental science Researcher Profile
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No Desired Start Date 06/30/2024 Job Summary A postdoctoral fellow position is available in the computational systems biology group at the Department of Biological Sciences, The University of Texas at Dallas
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to the early-life environment. The lab is part of the Department of Integrative Biology and the Department of Computational Mathematics, Science, and Engineering. We expect that lab members will contribute
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an ideal candidate with expertise in cutting-edge fields like artificial intelligence (machine learning), deep learning, mathematical modelling and systems biology. Proficiency in clinical data analysis