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Field
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health to improve health outcomes on a larger scale. This focus includes research on factors such as health behaviours and community-based interventions, as well as addressing global healthcare challenges
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. Their curriculum vitae should reflect their particular skills and motivation. Language requirements Applicants must provide proof of their English skills. English: TOEFL 550 (paper-based), 213 (computer-based), 79
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interdisciplinary by nature combining elements of its contributing sciences to solve challenging problems in a data-based, empirical approach. The PhD programme in Data Science (PDS) targets PhD students that work in
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of their English skills: TOEFL 550 (paper-based), 213 (computer-based), 79 (internet-based) or equivalent Application deadline Applications may be submitted at any time. Submit application to PhD@tiho-hannover.de
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 13 days ago
for Demographic Research (MPIDR), in Germany, subject to MPIDR terms and conditions. The role is based within the Mortality and Inequalities Research Group at LSHTM with close partnership with the Department
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scholarship Travel funding Graduate programmes Biological Clocks on Multiple Time Scales (Clocks) Subject Specific Learning and Interaction in Elementary School (INTERFACH) Just and sustainable transformation
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. The overarching aim of our department research is to contribute to a new, biology-based taxonomy of psychiatric disease that will allow to develop treatments and preventive strategies targeted at the underlying
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
-electron tomography (cryo-ET). We are a small international team based at the Max Planck Institute for Multidisciplinary Sciences in Göttingen, Germany. We aim to understand how molecular machines select
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are a small international team based at the Max Planck Institute for Multidisciplinary Sciences in Göttingen, Germany. We aim to understand how molecular machines select transmembrane cargo proteins and
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) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility that are technically well-grounded and at the same time