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Field
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profile Completed PhD degree in mathematical modeling preferably in the field of evolutionary ecology. Experience with developing mathematical models preferably in the field of evolutionary ecology (e.g
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical/Mechanical Engineering, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with
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evolutionary modelling (Hilje Doekes). Your qualities You have a PhD degree in a relevant field, preferably in evolutionary biology with hands-on experience in modelling or in mathematical/computational biology
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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multivariate statistical analyses, including generalized linear mixed models, generalized additive mixed models, and variants of these methods PhD in Molecular Biology, Biochemistry, Molecular Epidemiology
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the John Innes Centre. About the Howard Group: The Howard group combines simple, predictive mathematical and biophysical modelling with long-lasting experimental collaborations to dissect biological
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to produce optimal designs. Applicants should have skills in modelling, familiarity with partial differential equations, and be familiar with python. They will have, or be close to completing, a PhD in
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Infrastructure? No Offer Description In the new special research area (SFB) on "Mathematics of Reconstruction in Dynamical and Active Models" teams at the University of Graz, TU Graz, TU Vienna, and University