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, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. We strive
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PhD Student Brain multiregion singlecell transcriptomics of Myalgic Encephalomyelitis/CFSyndrome NIN
candidate who is eager to unravel complex disease mechanisms. You have: A Master’s degree in neuroscience, bioinformatics, biomedical sciences, or a related field. A strong interest in transcriptomics, brain
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patients. The candidate will work closely with a multidisciplinary team consisting of colleagues from biomedical sciences, medicine, bioinformatics, and statistics, both within and outside UMC Utrecht
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of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According
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Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. We strive for excellence in a caring institute, where excellence, fun
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enzyme engineering. The PhD project will involve bioinformatic selection of candidate enzymes, employing a combination of ‘off-the-shelf’ tools based on both sequence and structure. These enzymes will be
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-driven and passionate about fundamental research in the context of evolutionary biology and ecology. Has strong bioinformatic skills (python, ideally experience with methylation data). Has strong
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machinery) to conduct new catalytic tasks through a combination of chemical intuition and enzyme engineering. The PhD project will involve bioinformatic selection of candidate enzymes, employing a combination
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. - Is curiosity-driven and passionate about fundamental research in the context of evolutionary biology and ecology. - Has strong bioinformatic skills (python, ideally experience with methylation data
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addition to these core activities, you will perform bioinformatic analyses using your own data and large public data resources and integrate your findings with clinical data (symptoms, EEG, etc). Finally, you will