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of psychophysiological, e.g., ECG, photoplethysmography, behavioural, e.g., interoception, and self-report data, e.g., interoception, somatic symptoms, mental health, from different sources Co-development of a mobile
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 11 days ago
towers, social dynamics may differ in heterogeneous populations with, e.g., mixed relatedness, sexes, life stages, and underlying states. We showed that population heterogeneity does not produce behavioral
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to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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or different stages in a dynamic process. In this PostDoc project, our aim is to visualize the life-cycle of Weibel-Palade Bodies (WPBs) in the context of disease using multi-beam EM (FAST-EM) with correlative
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-driven machine learning approaches, they will improve our understanding of nutrient flows in agricultural landscapes. The postdoc will contribute to the development of databases representing the current
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different future energy configurations. Identifying and optimizing integrated energy solutions that improve the efficiency and operational value of the CO₂ hub. Contributing to the assessment and development
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are associated with a number of different critical mineral-bearing mineral systems (e.g. iron oxide apatite (IOA)-iron oxide copper gold (IOCG), porphyry Cu-Mo-Au, Carlin-type Sb-Au, epithermal Au-Ag, carbonate
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talented scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables
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-driven machine learning approaches, they will improve our understanding of nutrient flows in agricultural landscapes. The postdoc will contribute to the development of databases representing the current