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-preserving algorithms of stochastic partial differential equations on graphs”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years
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-preserving algorithms for nonlinear stochastic phase-field equations”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 4 hours ago
Interactions” to develop datasets and algorithms to capture and analyze eye gaze. About the project We are supporting the development of highly realistic human and animal avatars for use in research, film
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algorithm and framework; (b) collect data, analyse and prepare report; and (c) perform any other duties as assigned by the project leader, the Head of Unit or their delegates. Qualifications Applicants
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
to the activities to be developed in Portugal, with a particular focus on the port’s demonstrator. More precisely: Development of forecasting algorithms for different related variables, e.g., load demand, renewable
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Description IHES is advertising one (2+1)-year post-doctoral position in theoretical and/or mathematical physics with a starting date in fall 2026. Successful candidate will work with Prof. Slava Rychkov
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Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse
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for photocatalytic degradation and H2 production.Designing multi-objective optimization algorithms to maximize environmental and economic performance. Your RoleAs a PhD researcher, you will: Build and validate hybrid
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of transformer parameters (no-load losses, winding gradient, load losses). Building upon this existing body of work, the proposed research project aims to explore AI models and ML algorithms which are suitable