67 evolution "https:" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" "ISCTE IUL" uni jobs at Chalmers University of Technology
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Infrastructure? No Offer Description We are looking for a Doctoral student to become part of our team at the Division of Product Development at the Department of Industrial and Materials Science. Join our
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We are looking for a Doctoral student to become part of our team at the Division of Product Development at the Department of Industrial and Materials Science. Join our innovative team and contribute
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Radiative Transfer Simulator, https://www.radiativetransfer.org/ ), to apply the derived geophysical data for verifying climate models and to apply the development on the Arctic Weather Satellite and Sterna
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molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see www.scilifelab.se/data-driven . During 2022-2024
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team of doctoral students, postdocs and researchers. The staff scientist position is a research support role, focused on assisting research activities through method and/or instrument development. Job
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. WACQT is committed to promoting career development, diversity, and gender equality through networking and supporting activities. The Department of Microtechnology and Nanoscience (MC2) is host
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, learning and outreach. The research topics at the department span from fundamental to applied research with the aim of contributing to the development of a sustainable society. A wide range of experimental
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). The network joins 17 international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems
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that prevail at very small dimensions, and promote the development of technologies that utilise these phenomena. About the research project The topic of the PhD project will be about tunable self-assembled
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification