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studies on topics of national interest, including bilingual education/language acquisition, health and health disparities, international relations, international trade, migration, and environmental
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. Experienced in both strain development and related modelling & data analysis. Experienced with processes of biomanufacturing, including fermentation, downstream processes and scale-up. Proven leadership in
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-footprint), emission models (e.g. IPCC, EMEP/EEA) and tools (e.g. Simapro); experience in programming languages (e.g. Python) to develop methods, models and tools is considered a strong plus. excellent spoken
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website: https://internationalstaff.au.dk/prearrival/ for information about arriving to and living in Denmark for both the applicants and their potential families. Application procedure Short-listing is
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communication skills and excellent written English skills Evidence of ability to compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main research findings and
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the consistent further development of its profile-forming priority research areas Molecular Cell Biology, Neurosciences, Cardiovascular Medicine and Oncology. With its German Centers for Health Research partner
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communication skills and excellent written English skills. Evidence of ability to compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main research findings and
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communicator in both Dutch and English ; a natural team player with the ambition to further develop the field of visual techniques. In our international working environment there is an increasing amount
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language
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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