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premature deaths, especially among children, people with certain medical conditions and the elderly. With roughly 91% of the population living in urban areas and breathing polluted air, miniaturized detection
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to 2 years; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements
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' prognosis or treatment decisions. For modeling, we use both public and proprietary clinical and research data greatly enriched by our own repository of digital pathology images. A further focus lies on
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and physiological function of specific transport proteins in heterologous expression systems in crops and (trans-genic) model plants. • A unique set of Arabidopsis and barley transporter “mutants
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Economics (m/f/d) (Position number: 14-2025 Postdoc Spatial Equilibrium) in the field of spatial equilibrium modeling, starting on 01.08.2025. The position is initially funded for 18 months, with
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Technical University of Munich, Centre for Mathematics Position ID: TUM -POSTDOC_DATH_DK [#26716] Position Title: Position Type: Postdoctoral Position Location: Garching, Bayern 85748, Germany [map
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Your Profile Doctorate (PhD) in Ecology, Soil Ecology, or a closely related discipline Expertise in identifying soil invertebrates Experience with the analysis of food webs or trophic interactions
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
productivity and strategies for sustainable management of selected marine ecosystems. Your Profile A PhD in conservation biology, geoinformatics, spatial ecology, or a related field A strong background in
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for linking basic and applied research, located in central Tuebingen The opportunity to establish your own junior research group, including a newly created PhD position (75% E13 TV-L). The team will also
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on the influence of Alzheimer’s disease and aging on changes in cognitive functions in humans. The project combines cutting-edge technologies from genetics, proteomics and statistical modeling to understand