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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
and fUSI studies, including data analysis (e.g., Afni, Matlab, Python), MRI physics & sequence development, rodent handling, behavioral experiments and surgery. Our mission is to build a supportive and
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Actions English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information: Contributions
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to determine instability growth rates and connect experimental data to theoretical models. The candidate will contribute to the design and implementation of key components, including helicon antennas for plasma
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clinical outcome data, exposome research provides a holistic framework for identifying preventable risk factors and guiding targeted public health interventions. This scientific approach underpins both
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depressive symptoms in young people in higher education (YPHE) using ubiquitous smartphone data. Project Description: Mental health challenges, particularly anxiety and depression, are highly prevalent among
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future climate change. You will: use a range of temperature data sources (in situ loggers, atmospheric and marine reanalysis data, Earth observations, historic WCO oceanographic time series) to identify
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between things, developing the mathematical and computational foundations for optimal information transfer between surfaces and volumetric current distributions in complex scattering media. The research
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and competition. Due to the paucity of data on nutrition and health needs of e-sports athletes, this project aims to understand the demands of e-sports, lifestyle practices of e-athletes, and potential
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disability, and contributes directly to nationally significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative
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labour markets shape the recruitment, retention, well-being of doctors and nurses, and how these dynamics affect access to care and population health. Using large-scale longitudinal administrative data and