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newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples. The LGL is a member of the ‘Success Factor Family’ network. LMU Munich and the
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Fraunhofer ENAS is one of the global leaders in the field of MEMS packaging at the wafer and component level. The wafer-level MEMS package must allow access to desired measurable media (e.g
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 3 days ago
and battery technology. The place of work will be in Stuttgart and Heilbronn. Your tasks direct collaboration with PhD students and postdocs on cutting-edge research fabrication of novel metal fiber
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CCMs. The CCM is the core component of every electrolyzer. This is where electrical energy is converted into chemical energy in the form of hydrogen gas. For our group "Electrolysis", we are looking
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to conduct experimental and theoretical investigations of the wind turbine nacelle at both the component level and the system level. Recently, we were opening a new research area on the wind propulsion systems
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in soil processes related to soil GHG fluxes, however, the fauna exact impact on those fluxes is poorly known yet, and is a missing factor in soil GHG fluxes models. BoTiKI aims at filling
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
, progress, and completion of collaborative research projects and grants, from pre-award (planning to submission) to post-award (deliverables and reporting). Track research themes and external engagement
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? You are studying Mechanical Engineering in the field of Aviation or Shipping. Do you have knowledge of design and machine elements? Are you proficient in CAD and maybe even have first experiences in FEA
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires