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of supercomputer resources coaching bachelor and master students publishing results in physics journals and presenting them at international conferences while collaborating with the scientists at JSC an in
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protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our website at https://www.senckenberg.de/en/imprint/ Please
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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four different AC-voltages, independent of the distance covered https://arxiv.org/abs/2108.00879 . Theoretical consideration indicate good prospects for maintaining spin-coherence of the shuttled
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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) conferences and project meetings FLEXIBILITY: Flexible working time models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your
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research proposal as well as the three most relevant publications) in one pdf file. Please arrange for at least two letters of reference to be submitted by February 6, 2026 in pdf format online via https
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-body physics nonequilibrium quantum dynamics, to quantum computation, quantum information, and machine learning. The Institute provides a stimulating environment due to an active in-house workshop
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at andreas.mulch(at)senckenberg.de For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: Scientific / postdoctoral posts Starting date