20 data-"https:"-"https:"-"I.E" PhD scholarships at Utrecht University in Netherlands
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PhD Position in Statistical Physics & Data-Driven Viral Evolution Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 23 April 2026 Apply
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2 Apr 2026 Job Information Organisation/Company Utrecht University Research Field Biological sciences » Biology Physics » Statistical physics Researcher Profile First Stage Researcher (R1
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with working with omics data (e.g.. RNA-seq or ChIP-Seq); Experience with general molecular biology tools (e.g. cloning or genotyping); Experience with data analysis using R; Demonstrated analytical and
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Topologically-protected conductors of information are robust against perturbations that would normally scatter the information carriers, resulting in waste heat and reduction of energy efficiency. In
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PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
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PhD position in AI and Human Centered Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 5
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independent theory- and data-driven historical research; demonstrable experience and/or affinity with the application of digital techniques in historical research; a proactive attitude: you work independently
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, census, and non-traditional data sources such as web and satellite data. Contribute to ground-breaking methodology with real societal impact across the EU. Your job The Department of Methodology and
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning
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of postdivorce family diversity and gender. Your job The project utilizes (i) panel data ‘New Families in the Netherlands’, (ii) administrative data, and (iii) newly collected qualitative data. The project will