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optimally integrated into a geothermal data-assimilation workflow. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-phd-in-computational-geosciences_4… Requirements Research
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: Scientific Area: Data Science and Engineering; Electrical and Computer Engineering; Computer Science and Engineering; Artificial Intelligence; Computer Vision; Computer Science; Data Science; or Mathematical
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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have an excellent first degree and/or Masters degree in a mathematical or engineering-related subject. A background in control/systems theory and convex optimization is desirable Full details of how
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized control, and/or adaptive control) with a strong desire to make an impact on energy/power grids are preferred
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Binghamton University, Department of Mathematics and Statistics Position ID: Binghamton-AI2026 [#27121] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Binghamton, New
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computing & systems optimization https://www.upv.es/entidades/SRH/conypi/A1270965.pdf Where to apply Website https://sede.upv.es/oficina_tactica/?idioma=en#/inicio Requirements Research FieldEngineering
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computer science or a closely related field (e.g., mathematics) The selected candidate is interested in declarative problem solving, combinatorial optimization, knowledge representation, and/or logic
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: https://remik24-web.github.io/QT-website/ The candidates are welcome to inquire about the project details, research agenda and organizational issues. The questions should be sent by email to R. Augusiak