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to the UKE. Main tasks You will join the Institute of Medical Systems Bioinformatics (www.ims.bio ) and the bAIome Center for Biomedical AI (www.baiome.org ) as part of a dynamic, international, and
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systems. Application areas include hot-spot cooling, energy harvesting for IoT devices, and sensorics. Main tasks: Design, synthesis, and optimization of thermoelectric thin films (n- and p-type
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well as the quality of the research project University degree certificates (bachelor, master), each with degree certificate, graduation certificate, academic record (applicants of successive postgraduate-doctoral
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
probability theory and a great interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon) a Masters or equivalent degree in physics
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and probability theory and great interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon) a Masters or equivalent degree in
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, CV with list of publications, contact details of two referees, Master / PhD certificates) as a single PDF document by Email to esm-jobs.asg@ed.tum.de. Applications will be reviewed on an ongoing basis
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expertise. The Clinical Epidemiology Unit (clinicalepi.de ) uses and develops modern statistical and mathematical methods for the analysis of primary and secondary data. A particular focus of the Unit is the
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been tremendous progress in formal verification of cyber-physical systems, existing approaches still require expert knowledge. The main goal of this project is to develop essentially new methods
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reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim to revolutionize the research field
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine learning