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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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can include angles from human genetics, gene regulation, cell biology and computational systems biology. The research group works at the international forefront of human functional genomics, aiming
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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6 Sep 2025 Job Information Organisation/Company Lunds universitet Department Lunds universitet, 009999 LUNDS UNIVERSITET, 150000 NAT Research Field Biological sciences » Biology Biological sciences
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postdoctoral fellow to work with advanced 3D models of lung to understand regenerative processes in normal conditions and disease states. The employment is full-time 100% with the desired start date on 15
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Your team The macromolecular crystallography (MX) group is responsible for the two beamlines BioMAX and MicroMAX and the fragment screening facility FragMAX, supporting structural biology research
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The Department of Clinical Microbiology, Umeå University, is looking for a highly motivated postdoctoral researcher in human immunology. The two-year position will be based at the Department
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Your team The macromolecular crystallography (MX) group is responsible for the two beamlines BioMAX and MicroMAX and the fragment screening facility FragMAX, supporting structural biology research
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interdisciplinary project involving programming and modeling. In addition, the project includes collaborations with researchers in other disciplines, including biomathematics, biostatistics, and molecular biology