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bringing together a diverse team of PhD candidates who will focus on three key areas: Probabilistic and differentiable algorithms for machine learning; Programming language implementation for high
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automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability challenges in agentic reasoning systems. Where to apply Website https://www.findaphd.com/phds
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by the European Research Council - ERC COG 101088763. The work for this position is in the area of Machine Learning, Decision Theory, Reinforcement Learning. Scientific Area: Information and Data
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physics into the learning process to guide or constrain the model’s predictions; Developing solutions to address the issues related to integration in existing medical proceudres. The PhD position is part of
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engineering applications, and their tight integration with planning and control (e.g., task-and-motion planning, differentiable planning, or Reinforcement Learning (RL) with safety constraints). There will be
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infrastructure, with the state-of-the-art reinforcement learning and generative AI, to detect, prevent, and preemptively mitigate intelligent attacker vectors. Supportive Mentoring: The postdoc will be guided by
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(e.g. Large Language Models and Deep Learning architectures for Explainable AI, Agentic AI, Neuro-symbolic AI and Reinforcement Learning) with connections to Natural Language Processing, who will
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predictive control, and reinforcement learning. Knowledge of hybrid electric vehicles, fuel cell systems, and battery management. You must be well versed with one or more of the following languages and
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promote understanding of the interrelationships between human health and the environment, while strengthening the power to act individually and collectively. The main mission of the post-PHD researcher is
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simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https