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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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from these examinations can finally be utilized for population-based epidemiological research. Several such studies are underway at the Karolinska Institute, and now the Institute of environmental
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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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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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of Experimental Medical Science. The project’s co-investigator is Andrea Fossati, Karolinska Institute, Stockholm. Specifically, the project will be on finding the prophages of Escherichia coli genomes and
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, Karolinska Institute to systematically search from literature, and develop algorithms to define risk factors for major depressive disorder (MDD) using different epidemiological data sources. Your primary task
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Science. The project’s co-investigator is Andrea Fossati, Karolinska Institute, Stockholm. Specifically, the project will be on finding the prophages of Escherichia coli genomes and annotating the function
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infection.” In the lab of Gemma Atkinson in Lund University, Department of Experimental Medical Science. The project’s co-investigator is Andrea Fossati, Karolinska Institute, Stockholm. Specifically
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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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Karolinska Institute/Hospital campus. The regional core facility is tasked with aiding users of Swedish and international universities and industry with mass spectrometry (MS) based proteomics projects