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Field
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will contribute to the operation and maintenance of the scientific infrastructure of the group. Requirements: PhD in mass spectrometry-based proteomics and a compelling publication record. Extensive
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Further information Hochschule Offenburg Department of Electrical Engineering, Medical Engineering and Computer Science: Institute for Machine Learning and Analytics Institute of Reliable Embedded Systems
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Technomathematics, computer science, engineering, physics, mathematics or natural science or equivalent degree Very good knowledge of techniques and methods of computer-aided sciences Knowledge and experience in
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to Fight Infection) and other networks currently in preparation. Applicants should hold an MD (preferably) or a PhD degree, demonstrate initial success in securing research funding and publications, and show
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interdisciplinary working environment, highly motivated team of experts, flat hierarchies and a ‘you’ culture. 🖥 Workplace: Excellent equipment in terms of machines and devices. 💪 Co-design: Independent project
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understanding of the switching mechanisms at the molecular level. This opens up unique opportunities in a highly interdisciplinary research environment. The central task of the PhD candidate in this project is
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pulsing. The position is funded by the DFG and is suitable for either a PhD or a Postdoc, depending on qualifications. You will build on recent observations of local magnetic property changes caused by
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industries. Overarching top topics at Fraunhofer ITWM are Machine Learning as well as Artificial Intelligence and Renewable Energies or Sustainability. In addition, next generation computing and quantum
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), and in the SFB 1357 Microplastics is expected. The ability to teach in English is expected. The general administrative requirements for hiring professors at universities in Bavaria apply. A complete
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/j.devcel.2021.04.031 ), and highlight mechanisms that are relevant to translational research (e.g 10.7150/thno.81332 ). Requirements: a university and PhD degree in biology or related fields. Expertise in