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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 7 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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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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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 1 day ago
training programme in the field of cardiovascular computational modelling. Under the supervision of the project’s researchers, they will carry out the following tasks: • Development of skills 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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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number I02W11D11/30/2026 Is the Job related to staff position within a Research Infrastructure? No
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Optimizing Integrated Quality and Maintenance Management Systems
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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
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and sequence-based mechanisms of gene regulation. Current projects focus on deciphering the regulatory landscape of the human genome by integrating AI-driven enhancer modeling with GWAS data and