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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 22 days ago
algebra, optimization, calculus and probability and statistics. Duration: The research fellowship(s) will have the duration of 7 months. It’s expected to begin in (May/2026), and it is not renewable. It is
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partnership with the Charles Sadron Institute, - Contributing to the development of dedicated acquisition electronics, - Conducting tests on the developed devices, - Analyzing the obtained data, - Optimizing
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capabilities, existing technology can only handle relatively small-scale problems. Information In the SymBi project (Exploiting Symmetries for Faster Bilevel Optimization Algorithms), we address this limitation
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an assessment framework that will enable us to better identify and propose, in a transparent manner, management measures for optimal sustainability, tailored to each study area and applicable to different sites
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Researcher position focusing on techno-economic optimization and feasibility assessment of carbon capture, utilization and storage (CCUS) integration and CO2 hub development at Nybro, Denmark. Starting date
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 1 month ago
provide a mechanistic framework for understanding how brains encode directions, goals, and competing options in continuous space. For example, different behavioral modes, from directed choice to exploratory
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Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, Plasma Science and its applications, and organic
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: - Distributed robotic autonomy for embodied intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro
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reactors and the study of sonochemical reaction engineering. We excel at controlled experiments aimed at determining the driving forces for optimally efficient sonochemistry across different reactor scales
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approaches treat NP design as static property prediction. This project takes a fundamentally different approach: using generative models to propose novel NP formulations and coupling them with explainability