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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
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Fields Institute Program ID: FIELDS-GRADQUANTUMALGORITHMS [#27997] Program Title: Grad Students - Long Term Visitors (4-6 months) for the Thematic Program on Quantum Algorithms for Differential
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conditions de restauration dans un problème inverse avec contrainte de parcimonie, et de proposer des algorithmes utilisant ces conditions [1]. Ce sujet de thèse étudie le problème dans le cadre de
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: algorithm design for the interpretation of measurements, designing algorithms for deciding which experiments to perform, communicating with the instruments, orchestrating the steps of the research campaign
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embedded AI-based algorithms. The applicant should: have a Master’s degree in Electrical Engineering, be ranked within the top 10% of their class in MSc and BSc, and have exceptional grades, have a strong
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‑world adoption. Role Overview We are seeking a postdoctoral researcher to define and execute an ambitious research agenda at the intersection of generative AI and algorithm-hardware co‑design for next
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machine learning by designing and developing innovative models and algorithms. Key Responsibilities: Designing and conducting comprehensive research in artificial intelligence and machine learning, with a
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-of-the-art by exploring novel experimental and algorithmic approaches enabling spectroscopy and imaging of quantum materials and biological samples with extreme spatial and temporal resolution. The work at the
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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness
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applications of quantum networks along several possible lines: development of new quantum algorithms targeting various platforms, including qubit based and optical systems adaptation and generalisation of known