39 parallel-computing-numerical-methods-"Multiple" PhD positions at Utrecht University
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computational lens. This calls for strong expertise in computational methods, machine learning, and data modelling combined with solid knowledge of music. We particularly aim to cover a broad range of musical
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into the PhD programme. Required qualifications: Demonstrated experience with experimental techniques (e.g., flow-through experiments, column studies, material characterization) and/or numerical modeling of flow
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theory and methods, combined with insights from business economics, finance, entrepreneurship, innovation, ethics and sustainability. The programme has about 1,500 students from various backgrounds and
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part of the Software Technology group . Research in this group focuses on using and improving functional programming languages such as Haskell and Agda, in particular for parallel computing, software
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Human Geography and Spatial Planning has its
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- 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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required for broader participation. You will be part of a cohort of 11 PhD candidates from multiple Dutch universities and disciplines, from social psychology and urban planning to governance studies and
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integration of minoritized groups. Drawing on migration studies, integration is conceptualized as a multidimensional, two-way process involving both minoritized and majoritized groups across multiple levels
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motivated and collaborative researcher with: a Master’s degree in Bioinformatics, Data Science, Statistics, Computational Biology, Epidemiology, Neuroscience, or a related field; experience in programming and
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philosophical approaches; Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological phenomena; Develop strong skills in experimental methods, data analysis and