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multidimensional feature space of visual information to support data-driven journalism. This includes experiments for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal
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-term home monitoring of motor impairments in stroke and Parkinson's disease patients. The position is based at TU Delft, with part of your time spent on-site at Model Health (Leuven, Belgium) for the
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project ‘State-tech relations in the datafied welfare state: Examining the computational transformation of the European Social Model [STATETECH]’ led by Prof Lina Dencik and funded by an Advanced Grant from
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, with part of your time spent on-site at Model Health (Leuven, Belgium) for the development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in
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into biological insight and predictive models. A strong motivation for interdisciplinary, data-driven research. Experience in molecular biology or biochemistry (desirable but not required). Contact Information
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. The project explicitly seeks to move beyond static “average-day” demand modelling towards dynamic, behaviourally rich and policy-relevant simulations of how different groups adapt under changing conditions. The
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-driven innovation. The candidate will oversee the work package on ‘infrastructures’ that examines the features and ecosystems of platforms and AI applications that are used by different governments
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
that have guided generations, then share our discoveries to inspire generations to come. Your mission — your opportunity — is to seek out the answers that bring us one step closer. If you’re driven
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of AgriLife and make a difference in the world! Position Information Position Description: In collaboration with others at Texas A&M and Texas Tech, our team will rapidly formulate a field-ready
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, genomics, computational biology and animal models of disease. Using single cell multiomics, we recently discovered a latent regenerative potential in adult spinal cord stem cells and designed a targeted