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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us
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. Specific Requirements Knowledge: Data sciences. Artificial Intelligence. Behavior models based on the data obtained on the topic at hand. Professional Experience: AI models that predict the Earth's CO2
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on the basis of qualifications, project and interview, supplemented by a test of knowledge of the foreign language (see Annex A) Website for additional job details http://www-assegni.unipv.it/contratti-di
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University Duties This PhD project is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on multi-scale modelling of aqueous organic redox flow batteries, to build a predictive
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psychometric methods to reliably and validly compare children’s, adults' and AI-models’ fluid intelligence across a series of cognitive tasks; and conducting cross-sectional and longitudinal data analysis (e.g
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opportunity to help modernise eyewitness identification by combining cognitive psychology, immersive technology, and artificial intelligence. The project will test participant witnesses using a mock witness
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Science or related field 1-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic foundation models Publication track record is an advantage Proficiency in basics
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17 Jan 2026 Job Information Organisation/Company CNRS Department Institut de Neurosciences de la Timone Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences
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of technical knowledge, we expect you to have: A strong knowledge of R (strong skills in data wrangling using tidyverse syntax and functions, working with quarto documents, visualizing data, and writing clean
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for part-time employment. Starting date: 14.01.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date