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Techniques Laboratory description : Laboratoire Interdisciplinaire Carnot de Bourgogne As part of the LabCom TeleMAQ (Testing the Limits of Quantum Machines and Algorithms) project, established between
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of operators. The objective of this postdoctoral project is to develop methods and systems for the efficient, reliable, and task-specific execution of workflows involving LLMs, with a primary emphasis on
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essential for learning complex distributions over structured data such as text, graphs, and biological sequences. Developing and understanding models for dis- crete spaces is therefore a key challenge in
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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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14 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique de Lens Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal
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to develop algorithms to factor linear differential operators using p‑adic techniques. The central question of this proposal concerns the efficient symbolic resolution of linear differential equations
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Chemistry for Health” track. IJCLab bases its recruitment policy on the promotion of equality, diversity, and inclusion. These core values support both the professional development of staff, key contributors
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, research centres, technology developers and water utilities across Europe. The project will train 15 Doctoral Candidates to develop innovative AI-driven solutions for intelligent, resilient and sustainable
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experts on network monitoring, data management, algorithms, AI, modeling, microbiology, ethics and industrial partners, and by participating in a specifically designed training programme, they will develop