26 phd-mathematical-modelling-ecological-modelling Postdoctoral positions in Switzerland
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. Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students. The candidates should have A Ph.D. in Mathematics (be near completion). A
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 15 hours ago
the Remote Sensing group is offering a 2-year position as a PostDoc in Habitat Mapping 80-100% (f/m/d) You will map Swiss-wide distribution of habitat types and ecological communities from remote sensing data
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
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Preparation of results for publishing and presentation at conferences Development of models for health and environmental impact assessment Your profile We are looking for a candidate with: PhD in the area of
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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
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other research activities of the research group Ecology. Your profile Applicants should hold a PhD degree in ecology, botany, biogeography, environmental science, computational biology or related fields
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culture experiments (in vitro), followed by experiments using murine models (in vivo ). Your profile • You obtained a PhD degree in cell biology (or equivalent) in the past 12 months and have a strong
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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modeling tools (GEOS-Chem and CESM) and analysis of large observational datasets. The biosphere represents an important source of many reactive trace gases and aerosols (e.g. soil NOx, bioaerosols, BVOCs