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. The hub is anchored within the department as a “shared services” facility, modeled after a Center for Spatial Studies. It thus serves as a central service unit whose services are equally accessible
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. Candidates with a strong background in the development of novel models and original methodologies are preferred. Requirements: Applicants should possess a relevant PhD degree with a solid and outstanding track
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and thermal modeling to describe energy dissipation pathways and guide metasurface design. WHAT WE OFFER: A fully funded PhD contract for 3 years. The recruited PhD candidate will work in an
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learning, AI, or statistical modeling applied to biological data Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies Proficiency in scientific computing frameworks Strong
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Professor who wants to contribute to advance science, teaching and practice at the interface of Biodiversity, Land Use and Spatial Planning. By planning and governance of land use it is possible to halt
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-being, social connectivity, and resilience—integrating geospatial and spatial-temporal analysis to assess patterns, accessibility, and environmental exposure. • Collect, analyse, and interpret data using
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., Pettersson, H., Behrens, A., Männik A., 2018. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 152, 57–71. https://doi.org/10.1016/j.oceaneng
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comprising computational biologists, bioengineers, and immunologists. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors, and in vivo models
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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sequencing instruments into microscopes! Your mission You will join our team, a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science research (http