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Health Across Scales of Social Change” (Care2Act) exploring activism and mental health. Working at the intersection of psychology and sociology, you will explore how individuals and communities maintain
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to the post of Lecturer in Sport and Exercise Science. The School is multi-disciplinary in composition with access to a Human Performance Laboratory housing a state-of-the-art 3-D Motion Capture facility and is
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University of California, Los Angeles | Los Angeles, California | United States | about 16 hours ago
Scientist Salary range: See Table 37-B [https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t37-b.pdf ] for the salary range for this position. A reasonable estimate
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position within a Research Infrastructure? No Offer Description A tender is hereby opened for the award of 2 (two) Research Grant(s) (RG) under Reborn - "Full human-based multi-scale constructs with jammed
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non-profit sectors to make a positive societal impact by creating and deploying innovations at scale. You will have the opportunity to collaborate with purpose-driven coworkers in one of the fastest
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staff. Communicates effectively with practice site staff and research staff. Assists in the implementation of a multi-level intervention for a large scale, health system research study that spans cancer
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the application deadline; For degrees obtained abroad, the record of recognition of the academic degrees and record of the conversion of the respective final classification to the Portuguese classification scale
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through multi-criteria models (MS). Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-research-s… Requirements Research FieldEngineering » Civil
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, and multi-physics coupling in bottom-fixed and floating concepts. Modelling of coupled aero–hydro–servo–elastic behaviour of offshore wind turbines. Control strategies for load mitigation, stability
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real