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staff position within a Research Infrastructure? No Offer Description Challenge: Design building renovations under future uncertainty. Change: Develop uncertainty-aware life-cycle methods to optimise
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, and machine-learning-based analytics. The research work at NTNU will focus particularly on automation, robotics, mechatronic design, sensor integration, and intelligent experimental systems required
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-order modelling, surrogate models, and machine-learning methods such as neural networks. Control design for flexible reactor operation. Develop advanced control strategies that enable safe and efficient
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 18 hours ago
. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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countries (HIC). The airm of this PhD project is to understand how E. coli colonization contributes tot he risk of diarrheal disease and infections with AMR and use this knowledge to design interventions
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comprehensive and innovative methods to directly test palaeoecological hypotheses using both fluid dynamics simulations and experiments, which will be applicable across the study of life on Earth. https
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15 Aug 2026 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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overall focus will be to develop device platforms that allow engineered quantum superlattices to be studied by complementary electrical and structural probes. You will work experimentally with
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
into rational design principles for high-performance and durable catalysts. Plan and conduct research on the catalytic conversion of chemical hydrogen carriers, with scientific guidance from the supervisory team
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and