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academics and PhD researchers, it pioneers innovative craniofacial projects in forensic identification and digital heritage, advancing interdisciplinary research and knowledge exchange in heritage, arts
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team. You are not only collecting data, you are helping shape the future of care for women with rheumatic diseases.” Where to apply Website https://www.academictransfer.com/en/jobs/362834/phd-candidate
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, or PhD student. Good research skills (knowledge of databases both social science and possible legal databases). Ability to synthesize and read articles, proofread, find sources, and write succinctly. Be
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should also have a good knowledge of materials science and experimental characterization techniques. Experience with ceramic materials will be appreciated. Excellent written and spoken English skills
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independent research while supporting ongoing projects in areas including, but not limited to, clinical and translational psychiatry, neuroscience, genetics and genomics, neuroimaging, behavioral and cognitive
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process knowledge into modern AI tools. The research offers the opportunity to explore neural network architectures, tabular transformers or Bayes methods to include process-information into machine
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Number req26728 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department Medical Sub-Speciality Location
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-10248 Requirements Skills/Qualifications Expertise in computer graphics and AI, possibly including physical simulation and PDEs. Knowledge of C/C
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map of this classification appears at http://forkinganddividing.com . Many of these dividing lines are related to the existence of a suitable rank notion on formulas or on type spaces such as Morley
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understanding of microstructure-property relationships in materials systems in the presence of different stimuli close to operational conditions. Such knowledge is crucial for designing advanced materials with