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candidate will join the EDFM group at the Technical University of Munich to advance our understanding of the adaptive capacity of European forests to natural disturbances. This position is embedded in the DFG
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utilizes a flexible and advanced detector setup to investigate nuclear structure and astrophysical processes through the detection of decay radiation from exotic nuclei. Experiments are currently being
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skills. Strong statistical skills, particularly in experimental design and data interpretation, are highly desired excellent skills in English (C1 level or higher) What we offer: transdisciplinary
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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expertise in intravital microscopy in the Kiefer Lab at the European Institute for Molecular Imaging. Uncontrolled inflammatory processes are at the basis of many widespread diseases including myocardial
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para. 1 lit. b) GDPR, Art. 88 GDPR. For more information on the collection, processing and use of personal data by the German Institute of Human Nutrition as part of the application process and your
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
Ocean: Ecosystems, sustainability and competing interests at the edge of the world" covering natural and social science perspectives, that will cohere around the ‘dilemma’ facing the Southern Ocean: how
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
. The Research Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence