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Field
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The Senckenberg Society for Nature Research (Senckenberg Gesellschaft für Naturforschung, SGN) was founded in 1817 and is one of the most important research institutions around biological diversity
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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trade-offs of upscaling Offshore Wind Farms (OWFs) in the context of climate change and the ongoing food and nature transitions in the North Sea. The project has an interdisciplinary consortium of world
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of on-site construction production processes, as well as sustainable development. You will also demonstrate independence, creativity, and strong collaboration and analytical skills. Research environment
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. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum size
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to 1,500 EUR per month. Academic admission requirements Master's degree or equivalent in the life sciences, mathematics, computer sciences, statistics, biophysics, or a related field Language requirements
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programming background with expierence in using Python, matlab, and/or Java, etc. a good command of German and English, both for teaching and for the preparation of research proposals and publications process
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written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and
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activities #participation in stakeholder co-design processes, i.e., with regional authorities, nature conservation organizations, farmers - Reporting and Publication #prepare regular progress reports
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and quantify water mass transformation (WMT) processes in the Skagerrak, connecting the North Sea and the Baltic Sea. The Consortium members study these WMT processes by developing and applying WMT