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First Stage Researcher (R1) Positions PhD Positions Application Deadline 7 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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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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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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5th October 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in wind-assisted ships Apply for this job See advertisement This is NTNU NTNU
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individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a
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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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11th October 2026 Languages English English English We are looking for a PhD student in Computational Neuroscience at the Kavli Institute for Systems Neuroscience PhD in Computational Neuroscience
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into the mechanisms governing hydrogen-induced degradation and failure of circular steels. As a PhD researcher, you will: Perform advanced 3D microstructural characterization of circular steels, focusing on segregation
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. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic