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Field
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and progresses? In this PhD project, you will use innovative data analysis approaches and unique, deeply phenotyped cohorts to investigate the complex relationship between dietary factors, metabolic
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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The Faculty of Geosciences at Utrecht University has opened one, fully funded, position for a four-year PhD research project on global migration and Europe’s strategic autonomy. Your job Talent is a
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. Place of work The PhD Researcher’s working place shall be at the premises of Department of Environmental Sciences and Engineering located in Faculdade de Ciências e Tecnologia da Universidade Nova de
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Positions PhD Positions Application Deadline 22 Sep 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU
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1 Sep 2026 Job Information Organisation/Company Fundación IMDEA Nanociencia Research Field Physics » Condensed matter properties Researcher Profile First Stage Researcher (R1) Positions PhD
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tests the causal effects of candidate epialleles on gene expression (this PhD project at UU). In this PhD project you will: Develop and use state-of-the-art CRISPR/Cas9-based technologies to target DNA
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities How can we combine
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
8 Sep 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Construct Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data