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11 Mar 2026 Job Information Organisation/Company cellumation GmbH Department HR Research Field Engineering » Computer engineering Engineering » Mechanical engineering Researcher Profile First Stage
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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hierarchies You have a very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the
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user of supercomputers and sufficient programming skills You have a very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements
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, as well as enjoyment of cooperative collaboration You have a very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ) Our
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integrate relevant metadata into the bridgehead. Based on this, an HTTP REST interface will be developed that allows authorized clients to query information in a structured and standards-compliant way
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submitted via https://uni-bayreuth.berufungsportal.de by 31 May 2026. Applicants are welcome to direct questions and requests for further information to the Dean at dekanat.mpi@uni-bayreuth.de . Application
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familiarise yourself with the topic at an early stage and lay a solid foundation for a successful thesis In addition to exciting tasks and a collegial working environment, we offer you much more: https
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments