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at the Science for Life Laboratory in the Karolinska Institute campus. SciLifeLab is equiped with state-of-the-art instrumentation and core facilities, and is home to one of the largest sequencing cluster in
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dementia patients. In this project the postdocs will collaborate with doctors at world-renowned Karolinska Institute and Hospital. In addition, the postdocs will develop new AI / machine learning methods
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involved in this project with complementary expertise (Vicente Pelechano, Karolinska Institute, development of high-throughput omics assays and Julien Gagneur, Technical University of Munich, AI and
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to revolutionize our understanding of pain mechanisms and to develop new therapies for pain relief. The group closely collaborates with Helsinki University Hospital and Karolinska Institute, Sweden. Requirements
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Futures, Karolinska Institute, Karolinska University Hospital and Stockholm University. The position is located at the KTH Division of Information Science end Engineering under the supervision of Professor
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interdisciplinary science within years. Karolinska Institute and SciLifeLab offer a creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world's leading medical
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to revolutionize our understanding of pain mechanisms and to develop new therapies for pain relief. The group closely collaborates with Helsinki University Hospital and Karolinska Institute, Sweden. Job description
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, at the Karolinska Institute, Sweden, in a project led by Prof. Rikard Holmdahl. Duties The task involves the usage of different mice strains housed in our SPF animal house lacking certain immune receptors. Mice will
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is located at the Science for Life Laboratory in the Karolinska Institute campus. SciLifeLab is equiped with state-of-the-art instrumentation and core facilities, and is home to one of the largest
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. Ijspeert, EPFL, Switzerland) and experts in genomics (Pr. Simon, Karolinska Institute, Sweden). REQUIREMENTS: The candidate should have completed a PhD in neuroscience or a related field. The ideal candidate