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of electrical engineering, Universite de Moncton (Moncton campus) Email: [mohamed.lamine.faycal.bellaredj@umoncton.ca] Context & Motivation: Because of their extreme computational needs where workloads demand
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phase equilibrium modelling facilitate the prediction of metal budgets of crustal magmatic systems (e.g., Weller et al., 2024 JPet, Soderman et al., 2025 Nat Geosci). Pseudosections, the bespoke phase
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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(3) years.Supervisor:Dr Mohamed Lamine Faycal BELLAREDJ, Assistant ProfessorDepartment of electrical engineering, Universite de Moncton (Moncton campus)Email: [mohamed.lamine.faycal.bellaredj
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Contract: Full Time/Fixed Term for three (3) years.Supervisor:Dr Mohamed Lamine Faycal BELLAREDJ, Assistant ProfessorDepartment of electrical engineering, Universite de Moncton (Moncton campus)Email
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with a background in sociology, anthropology, sociology of science and technology (STS), or organization studies. The scholarship requires the conduct of empirical fieldwork in and communication with
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Engineering Operations Research Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview Susquehanna is expanding the Machine Learning group and
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, sociology of science and technology (STS), or organization studies. The scholarship requires the conduct of empirical fieldwork in and communication with Danish organizations, so the candidate must be able
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers