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will contribute to theoretical frameworks, common methods, educational toolkits and knowledge sharing platforms in co-creation with project partners. Information and application Please apply by 27 March
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to highlight the strength and boundaries of the proposed methods. Identifying the critical assumptions needed to draw inferences from empirical results. Writing computer code to analyse experimental or secondary
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15 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage
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biological systems using advanced mathematical and computational methods that can be data-driven, or biology-based. MaCSBio has been growing steadily since its foundation in 2015 and current research themes
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us to advance sustainable battery recycling
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you like to address this urgent need and develop new methods to support coordinated decision-making for sustainable strategies in the port call? As a PhD student at TU Delft, you will leverage AI (i.e
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has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so
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of the proposed methods. Identifying the critical assumptions needed to draw inferences from empirical results. Writing computer code to analyse experimental or secondary data according the best practices and tools
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metadata for auditability and continuous monitoring. The research is hands-on and evaluative. You will deploy your methods in realistic cyber-range scenarios and sectoral use cases (e.g., transport
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has been studying any of these topics: statistical physics, computer simulation methods, and polymer physics. Proficiency in the C++ and/or Python programming language is an advantage. Good knowledge