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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 on semiconductor
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biomedical engineering, bioinformatics, biotechnology, molecular imaging and biomaterials. Training within the RegSci PhD programme takes place across three levels: students carry out their own research
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of one of the two annual PhD selection processes may begin doctoral work at any time during the following six months (usually 1 September of the same year and 1 March of the following year). The duration
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Trading Authority, Berlin (Elizabeth Mosqueda , Danira Baigunakova ) Timeframe: application, selection, fellowship Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification
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Foundation Icon Notification Notification Application procedure Fellowship Use the advantages of the network - for a lifetime! Programme announcement March 2023 Application deadline 15 October 2023 Selection
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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of excellence for four core research areas: Advanced Imaging of Matter (photon and nanosciences), Climate, Climatic Change, and Society (CLICCS) (climate research), Understanding Written Artefacts (manuscript