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Field
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) Positions PhD Positions Country Switzerland Application Deadline 31 Mar 2026 - 23:59 (Europe/Brussels) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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, contribute to a better world. We look forward to receiving your application! We invite applications for a fully funded PhD student position to join the research group of Jan Glaubitz to work on Bayesian
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structures, access to space, multidisciplinary design and concurrent engineering, uncertainty treatment and optimisation, machine learning. (https://www.strath.ac.uk/ ) Task description for your Individual
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consistent and structured mentorship to support your career goals. Applicants with an international background are more than welcome to apply. As a PhD student, you devote most of your time to doctoral studies
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, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance their operational reliability. The PhD student will combine mathematical
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in the State. The position is covered by the Protocol on Job Structure. Responsibilities and tasks in the PhD programme Carry through an independent research project under supervision Complete PhD
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, manufacturing process dynamics, and uncertainty quantification. The interrelation of these three topic areas is increasingly important for future lightweight and sustainable composite structures. The ideal PhD
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the health services. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290397/phd-candidate-in-medicine… Requirements Research FieldMedical sciencesEducation LevelMaster Degree
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chemistry and you want to have a strong influence on the topic of your PhD project for fulfilling your dreams and ambitions, this open position within the field of theoretical chemical dynamics might be
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular