13 postdoctoral-biomedical-signal-processing Postdoctoral research jobs at SciLifeLab in Sweden
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are seeking a motivated and skilled Postdoctoral Researcher to join the Research and Development (R&D) team at the Uppsala node of the National Genomics Infrastructure (NGI), part of SciLifeLab
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postdoctoral scientist to join the Friedländer team which is part of the MBW department and has research activities at SciLifeLab. Our team has recently found RNA molecules to be present in fragmented form in
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The Faculty of Medicine, which consists of 12 departments, is responsible for biomedical research and courses in the field of nursing and health care and has an extensive research and graduate education
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biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
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potential applications. In particular, we focus on evolutionary prediction: can we use a deeper understanding of evolvability to predict and, potentially, control evolutionary processes? Read more about our
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that are recruited to the program will form a network with the support of the SciLifeLab Committee KI. This is a joint postdoctoral position between the lab of Andrea Fossati (KI/MTC, SciLIfeLab) and the lab
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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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. Read more about what it’s like to work at KTH and our benefits . Qualifications Requirements A doctoral degree or an equivalent foreign degree Several years of postdoctoral research experience Research
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to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
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cutting-edge, high-density data-driven research that impacts academia, industry, and policy worldwide. About the Programme Fellowship: each participant will benefit from a 36-month postdoctoral training