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Field
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Programming experience, including shell scripting, Python, and working with APIs Basic knowledge of virtualization, networking, and computer security Experience working with containers (e.g., Docker
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projects with several partners, including scheduling, documentation and follow-up good knowledge of GIS and/or remote sensing, for example QGIS, ArcGIS or Google Earth Engine experience of programming in
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. Documented practical experience in high-plex image analysis of tissue Documented knowledge and practical experience in programming and data analysis in R. Good communication skills and extensive documented
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field of study for a Master’s degree (60/120 credits). Since 2014, a popular undergraduate programme in Practical Philosophy, Politics and Economics (PPE) has been offered in cooperation with the Department
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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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, 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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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