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analysis on neuroimaging data\integrate connectome findings across multiple speices work on developing new statistical methods to compare networks across conditions apply bioinformatic tools for integrating
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and their cognitive functions and vulnerability to mental conditions. By applying neuroimaging, genetics and network neuroscienceanalyses to MRI data from multiple species, the project aims to study the
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posed a challenge. I questioned my supervisor multiple times about the necessity of learning Dutch. Fortunately, she assured me that the English level is very high in Nijmegen and the Netherlands. When I
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to countless signals. While traditional approaches have uncovered much of the genetic foundation of response pathways to individual signals, how plants integrate multiple co-occurring signals on the cellular
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datasets with multiple omics layers (including genomics, proteomics, metabolomics, and microbiomics) to uncover how environmental factors shape human health at the molecular level. You will collaborate
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multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; a complete educational program for PhD students; multiple courses on topics
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assays), as well as genome data analysis using bioinformatic tools. You have a creative mind and look forward to learning and applying your skills and knowhow. Finally, you are a team player and a pleasant
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, machine learning, bioinformatics, AI, or a related field. Strong background in machine learning and data analysis. Interest in single-cell omics, spatial data, or systems neuroscience. Intellectual