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Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches
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12th December 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Algorithmic Fairness in Recommender Systems Apply for this job See
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district heating networks, within the framework of the project "Data Analysis for Peak Load Stabilisation in District Heating Networks (DAS)". The work includes: design and implementation of RL algorithms
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to 3 different courses, with each section typically consisting of 22-28 students. Lecturers will be expected to provide high-quality teaching, student advisement, and learning support services, as
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools
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. Representative research areas of interest in systems biology and medicine are standards for sharing data across different hardware, software, operating systems, etc; tools that will aid in data collection at a
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, technical development, strategic planning, and attention to the long-term cultural impact of our field. Profile We are considering different profiles for this position. An ideal candidate is A: A research
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companies can make effective use of quantum computers in the future and is developing suitable software solutions, algorithms, and tools for these applications. Utilize state-of-the-art ML architectures
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary Working on developing processes and automated algorithms