192 linked-data-"https:"-"https:"-"https:"-"Brunel-University-London" positions in Sweden
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members. More information about the department’s activities can be found here: www.uu.se/en/staff/department/immunology-genetics-and-pathology SciLifeLab (www.scilifelab.se ), established in 2010, is a hub
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics
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Information about the position Reference number REF 2026-0126 SciLifeLab (www.scilifelab.se ), established in 2010, is a hub for life science research in Sweden and a collaboration between Swedish
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Referensnummer REF 2026-0054 Chalmers University of Technology is host for a well-funded tenure-track Assistant Professor position in Data Driven Cell and Molecular Biology, in a vibrant
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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We are looking for an ambitious postdoctoral researcher to advance the integration of microbial biodiversity and data-driven innovation for next-generation food fermentation within the MIND
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environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se
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As a Software Developer at the SciLifeLab Data Centre, you will develop and maintain national systems for research data, using Python and Kubernetes to build scalable and sustainable solutions. Join
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for Neural Rendering for Computer Graphics and Real-Time Rendering. By using ANNs, coded for high-performance on cross-vendor GPUs, we aim to create new techniques for global illumination and material models