1,727 evolution "https:" "https:" "https:" "https:" "University of Cambridge" positions in Germany
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at: https://www.ipb-halle.de/en/institute/ Where to apply Website https://www.academiceurope.com/ads/research-associate-in-ai-guided-barley-adapt… Requirements Research FieldBiological sciences
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strong Excel skills You are organized, reliable, and proactive You are a good communicator and enjoy teamwork You are comfortable working in English (at least B2 level according to the CEFR: https
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 16 hours ago
development and guidance. In this context, "customised" means in particular that the educational events are tailored according to individual needs of the participants. Of course, this implies in turn
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semester Application deadline Will be announced on webpage: https://www.mgse.econ.uni-muenchen.de/application/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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international project partners, embedded in an ERC-funded project. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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for the position. In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds, e.g. in terms
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Junior Research Group of Neurocircuit Development and Function (NDF) for 1 Postdoc (m/f/d) starting as soon as possible. Specifically, the Junior Research Group is interested in neuronal circuits
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Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative stack designs, operating strategies and measurement methods for power
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data