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-Independent Acquisition (DIA), Parallel Reaction Monitoring (PRM), Quantitative proteomics workflows, Data normalization and quality control strategies, Strong experience in processing and interpreting
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variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for
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Epidemiology and Data Science group at the Institute for Risk Assessment Sciences (IRAS) of Utrecht University, where Dr. Martijn Kolijn leads the cancer projects. The group is part of the One Health
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Biological sciences » Biology Computer science » Informatics Computer science » Programming Researcher Profile Recognised Researcher (R2) Application Deadline 16 Oct 2026 - 21:59 (UTC) Country Netherlands
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and the department; • completing the PhD program at the Kurt Lewin Institute (KLI). Your qualities hands on, proactive mentality; master’s degree in Psychology (preferably research master program
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). Experience in multi-modal data integration for prioritizing disease-specific targets: combining quantitative multi-omics approaches (es. RNA-seq, Ribo-seq, proteomics, immunopeptidomics). Strong programming
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performance over time. We're looking for a candidate with a strong background in epidemiology and quantitative methods, solid programming experience in R. The project is part of a national research program on
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computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a postdoc at NIOZ in a collaboration with
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; have demonstrable academic or professional competence in quantitative and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming
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numerical modelling and programming (preferably Python). You will collaborate with colleagues who are AeoLiS and CFD specialists, so affinity with these techniques is a plus but not required. Affinity with