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Field
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inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference
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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
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Full-time: 35 hours per week Fixed-term: 30th June 2026 Applications are invited for research associate positions in Algorithms and Complexity, funded by the European Research Council (ERC
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development of model predictive control algorithms for autonomous robots. Key Responsibilities: Development of model predictive control algorithms for autonomous robots Job Requirements: A Master degree in
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quality, avoiding the paralysis that troubles artificial algorithms when options seem equally good. This project asks: what objective functions do such biological systems optimise, and how can we use
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to work on new image processing algorithms for cryo-EM structure determination in our open-source software RELION. In particular, we are aiming to improve its core refinement routines through exploration
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, develop, and evaluate predictive models and algorithms that lead to optimal value extraction from the data. Evaluates and implements novel approaches to address aims and milestones to multilayered datasets
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the theoretical and algorithmic foundations of AI. A strong commitment to excellence in undergraduate and graduate teaching and mentorship is essential. Preference will be given to candidates who show promise in
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similar / - Graduate in industrial engineering or similar - Conocimiento de algoritmos de inteligencia artificial /Knowledge of artificial intelligence algorithms - Dominio de Redes Neuronales
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related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm and experience in using these algorithm for electrical engineering problems