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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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Degree PhD (Dr-Ing or Dr rer nat) Doctoral degree or degree awarded by Ruhr-Universität Bochum or Universität Duisburg-Essen Course location Düsseldorf In cooperation with Max-Planck-Institut für
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Through our research and our commitment to the transfer of knowledge and technology, we
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to our researchers, giving them room to focus their full creative potential on developing the imaging and sensing technology of tomorrow. The successful candidate will specifically: • Lead project
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the new institute strategic extension TropEcS Publish in the field of data science and technology applied to the marine coastal tropics Supervise group members (Bachelor, MSc and PhD students, postdoctoral
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scene and a diverse cultural life. Starting from 1 October 2025, our team offers a PhD Position (m/f/d) in Phenology and Pollen Forecasting using Citizen Science Data. The position is limited to 3 years
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
Ecology and Technology group is carrying out work on the impact of manganese nodule mining on deep-sea benthic communities and their functions. The Research focuses on industrial tests of the manganese
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of microelectronics and microsystem technology. These nano- and microtechnologies are the basis for the other competence areas at Fraunhofer EMFT: sensor solutions, safe and secure electronics, and micropumps