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for the projects will be provided by Tahlita Zuiverloon (MD PhD, associate professor), Martijn Starmans (PhD, assistant professor), Farhan Akram (PhD, assistant professor) all Erasmus MC and Geert Litjens (PhD
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 04.09.2025 Job description
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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. Computational chemistry (nice to have): Familiarity with MD and/or QM/MM, or motivation to learn these tools to inform design and mechanism. AI-guided protein design (nice to have): Curiosity about methods such
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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of Europe’s leading academic departments of population health sciences. The post will suit researchers interested in understanding computers energy usage to improve carbon footprint monitoring and reduce the
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chemical analyses. Please send your application via eMail to Jan Buellesbach (jan.buellesbach@tum.de) as a single PDF document until 3rd of July 2025. Applications should include a motivation letter, a short
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timely change in operation conditions to avoid the escalation of degradation will be key to ensure long operational life of SOEC’s. Responsibilities The candidate(s) will work on developing advanced and
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of diverse teams with multiple technical and theoretical expertise. Applicable responsibilities for both positions: You are expected to be able to organize and perform your own experiments, and critically
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) of geotechnical problems, in particular coupled flow-deformation analyses and/or modelling erosion processes Main responsibilities Conduct independent research and research training (80%) Support education and