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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 2 months ago
next-generation computational approaches to understand, predict, and engineer highly reactive intermediates in enzymatic catalysis. By combining quantum chemistry, molecular dynamics simulations, machine
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. This synergistic combination of multiplex GE, predictive AI and real-time phenotyping will shorten breeding cycles and enhance the accuracy of selection. The PhD candidate will conduct laboratory experiments
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to cardiovascular risk in Psoriasis and Psoriatic Arthritis: Biomarkers and New predictive tools”, with identification code PI-0226-2025, within IMIBIC research group GC05 “Chronic systemic autoimmune-inflammatory
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modeling, lifetime prediction, and assessment of material integrity. Thermo-mechanical characterization, focusing on fracture behavior, performance under extreme conditions (temperature and speed), and
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modeling, lifetime prediction, and assessment of material integrity. Thermo-mechanical characterization, focusing on fracture behavior, performance under extreme conditions (temperature and speed), and
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research, digital health solutions, and the development of AI-based predictive models using large-scale clinical datasets. This position is particularly suited to a clinician-scientist with a strong
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, positional therapy validation, and prediction of cardiovascular risk and other comorbidities. The PhD project will be conducted in the frameworkof the project entitled: “Revolutionizing early sleep apnea
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analyses, structural modelling and functional prediction. The candidate must also have hands-on experience in recombinant Rubisco expression, protein purification and enzymatic characterisation. These skills
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events as well as the development of solar particle radiation interplanetary environment prediction models (contact: Àngels Aran) New instrumentation for astrophysics for Montsec Observatory, including
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of developing of energy autonomous neural interfaces. The researcher will be in charge of the finite elements simulations to predict and design novel materials and device designs for energy harvesting based