154 data "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Chalmers University of Technology
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models of metabolism to guide the engineering of microbial cell factories. Extracting actionable insight from these data and models requires reasoning across multiple layers of biological organization and
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Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company
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Research FieldPhysicsYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work
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FieldEnvironmental scienceYears of Research Experience1 - 4 Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location
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light of end-user needs. The developed skills will also be applied to existing observations to support ongoing data extraction across several missions. On this side, detailed physical simulations
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excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis to provide
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, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers here . Application procedure The application should be written in English and attached
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16 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Biomedical engineering
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engineering for brain–computer interfaces. About us The group led by Giacomo Valle is part of the Division of Biomedical signals and systems at the Department of Electrical Engineering at Chalmers University
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at the intersection of neuroscience, biomedical engineering, and clinical research. The team includes engineers, neuroscientists, and data scientists collaborating closely to develop next-generation neuroprosthetic