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» Applied mathematicsEducation LevelPhD or equivalent Skills/Qualifications PhD in computational modelling or applied mathematics Additional Information Selection process Apply by sending an email to
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Modelling the Dynamic Development of Expertise: Integrating Practice, Ability, and Individual Differences School of Psychology PhD Research Project Self Funded Dr Nemanja Vaci, Prof M Bilalic
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 3 days ago
collective computational systems. The goal is to develop and analyse techniques for analysis, modelling, and abstraction (e.g., coarse-graining, multi-scale models, information-theoretic approaches
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Electrical Engineering, Computer Engineering, Physics, or a closely related discipline. At least 3 years of relevant research experience in microwave and RF device modelling and design. Strong background in
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leaks and evaluating methods for optimizing CO₂ transport. The tasks will include developing and implementing computational algorithms for modeling CO₂ transport processes in pipelines, performing
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therefore need to be accounted for [2]. These fields are typically simulated with Magnetohydrodynamic Modelling (MHD); however, these simulations require significant computation time (e.g. supercomputers) and
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) Established Researcher (R3) Application Deadline 29 Apr 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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6 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire de Mécanique et Génie Civil Research Field Chemistry Chemistry » Computational chemistry Researcher Profile First Stage
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of a multi-layer network model
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Description: Accurate battery State of Health (SOH) estimation is vital for electric vehicle safety and longevity. Current models often fail to balance accuracy with computational efficiency. Collaborating with