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intensively assist you in finding the right funding opportunity. Academic admission requirements Applicants must have obtained or be about to obtain a Master's degree or equivalent qualification in physics
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applicants will receive preferential treatment. Contact: Application Process Interested candidates should submit a single PDF file (max. 5 MB) containing: Curriculum Vitae (PDF file, max. two pages, written in
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for questions regarding the application process: http://www.uni-goettingen.de/en/application+and+enrolment/532016.html Possibility of finding part-time employment The university supports students in finding part
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
climate simulations and interact with stakeholders to develop physically plausible heatwave scenarios for the city of Hamburg and the rural region of Heide in Schleswig-Holstein. In a participatory approach
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companies from all over the world, especially the USA, the UK, and Germany. Your Profile: Excellent university degree in engineering, chemistry, materials science, physics, electrochemistry or a similar
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papers Contributing to educational events, such as courses and hackathons Your Profile: Excellent Master or preferable subsequent PhD degree in Computer Science, Mathematics, Physics, or similar fields
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the overall design Your Profile: Master’s degree in the field of natural sciences, engineering, or a related field of study Knowledge of energy process engineering is an advantage Huge interest in energy
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of private circumstances may help increase equal opportunities during the selection process. The consideration of personal circumstances allows for a fairer assessment of academic achievements. Are child
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scientific journals Requirements: A master’s degree in physics, meteorology, geosciences or related fields relevant for Earth-system science. Experience in climate/Earth-system modelling is recommended
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Science or German Diplom, preferably in biology, chemistry/biochemistry, psychology, medicine, physics, engineering, or informatics neuroscientific knowledge and interest in an interdisciplinary research