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into the following tasks: Contribute to the development and extension of the open-source market model PowerMarketSim, with a focus on integrating flexible asset representations Design and implement simulation
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Description Within the ANR HEBBIAN contract, the objective is to adapt bio-inspired Hebbian learning models recently proposed by one of the partners of this ANR (Frédéric Lavigne) in order to account for data
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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and Public Health (IPLESP) Host: Sorbonne Université Modeling Outbreaks Center Supervisor: Dr. Vittoria Colizza Duration: 2 years (1+1 year contract) Expected start date: June 2026 Expected salary
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of Biostatistics and Bioinformatics is seeking a highly motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing computational models of the immune response
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of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation of existing approaches for scientific applications
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of High-Order Structural Models Based on CUF and Advanced FEM
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researcher will develop, implement, and apply advanced ways in inverting a radiative transfer model for forest trait and uncertainty mapping at satellite, airborne and drone levels. She/he will explore
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University (ASU) invites applications for two postdoctoral scholar positions in the area of mathematical modeling to work with Dr. Nina Fefferman. The first position will focus on modeling dynamics
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, through finite elasticity formulations with internal variables and pseudo-elastic models for the description of the Mullins effect Where to apply Website https://www.unimore.it/it Requirements Additional