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uncovering companion biomarkers for precision treatment using cutting-edge bioinformatics and proteomics approaches. You will analyze bulk and clonal protein expression data from large melanoma cohorts
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up of data from the NWO Veni project. This position also offers opportunities for personal scientific growth by contributing to the advancement of research, providing support and collaborate with PhD
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Postdoc in computational social choice for large-scale deliberation (1.0 FTE) (V25.0203) « Back to the overview Job description A 2-year postdoc position in computational social choice for digital
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image analysis (segmentation, statistical feature extraction etc.) The project is part of a larger collaboration involving the Faculties of the University of Twente and a large industrial company
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dynamical systems. The position is part of the research project “A Rigorous Framework for Transient Random Dynamics”, funded by the Dutch Research Council (NWO). You will be part of a team with a PhD student
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the social origins of these different meanings; 3) improve alignment between (non-)governmental efforts and citizens’ perspectives by demonstrating how these meanings shape responses to information campaigns
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Your job Are you passionate about cancer research? Excited to dive into biological pathways and complex data analyses in an epidemiological setting? Eager to work within an ambitious and
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or computational Affinity for computer simulations A finished PhD thesis (at least submitted to the PhD committee by the time you start) Terms and conditions The appointment will be for 20 months (based on a
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a large interdisciplinary consortium of digital democracy researchers as well as several societal partners. The successful applicant is expected to carry out research on the algorithmic foundations
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traditional large-sample approaches to study fewer individuals in unprecedented detail, leveraging an already collected rich dataset to better understand individual brain differences in autism. What are you