166 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral positions in Sweden
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, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work
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motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14631&rmlang=UK
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program for Data-Driven Life Science (DDLS) . The DDLS program focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of AI-driven strategies/tools
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also be included. The successful candidate is expected to plan and perform independent research but is also expected to collaborate with researchers at the department and within other subject areas. The
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perspectives on norm-critical pedagogy, safety, inclusion, and educational practices are also welcome. The research project must be described in a research plan attached to the application. As a postdoctoral
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and shared cleanroom facility for the production of materials and components at the nanoscale. The Division has a strong commitment to undergraduate education, not least in the Master's programme
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industry and includes practical process work, sample handling, analysis and interpretation of results in relation to the project objectives. Detailed description of the work duties, such as: plan, conduct
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. Experience and expertise in human mobility simulation and prediction with agent-based modeling and deep learning techniques. Proficient in Python programming for geospatial data processing, modeling, and
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
research projects within the lab’s research program Perform in vivo calcium imaging and behavioral experiments Analyze neuronal and microglial activity datasets (e.g., calcium imaging) Conduct
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analyzing patient-derived samples. Methods used include analysis of genetic data, brain imaging data, health-registry data, and protein biochemistry, using statistical programs such as R, SPSS, PLINK