494 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Sweden
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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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Data-Driven Life Science (DDLS) programme. We have a national mission and develop services for life science data and e-infrastructure, as well as work with issues related to FAIR principles, open science
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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
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and international research grants. MIMS Group Leaders are expected to conduct a successful research program in synergy with the multidisciplinary research environments in which MIMS is integrated and
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for SciLifeLab’s technology platforms and other SciLifeLab-organised programmes and activities, including the national Data-Driven Life Science (DDLS) programme. We have a national mission and develop services
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, Infrastructure and Cybersecurity, and Graphic Design and Web Development. We also offer a popular master’s programme in Cybersecurity. For more information, visit Department of Computer Science and Informatics
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exhibitions, organising catering and travel. See www.umarts.se for the program of activities. Other tasks and duties may be assigned. Qualifications To be eligible for employment as a teaching assistant, you
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an international and collaborative research environment. The PhD candidate will join the ‘Measuring What Matters’ consortium – a new 30M SEK Formas-funded research programme that aims to develop and operationalise a
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. Curriculum vitae, including a list of publications. A writing sample (e.g., article, dissertation chapter). A research plan for your project (5 pages) Contact details of two academic referees.
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: Quantitative remote sensing, including optical and radar data. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical