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Description Nestled in a modern city surrounded by nature and with an exceptional standard of living, Leibniz University Hannover offers excellent working conditions in a vibrant scientific
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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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-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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ability, and a fluent spoken English is needed in this work. What we offer? This position is foreseen to run from Spring 2025 onward, but the start date is partially negotiable. The position will be filled
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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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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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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