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Field
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of Computer Science) is currently seeking a Predoctoral University Assistant ("PhD student") in the Big Data Algorithms Group headed by Sebastian Forster. The goal is to develop algorithms for solving clustering
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l'évolution de la tumeur. Cette partie du projet consiste à concevoir, développer et exécuter des algorithmes et des approches d'apprentissage automatique afin d'exploiter les vecteurs des quantités de
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, working in collaboration with researchers developing quantum software and algorithms targeted to the neutral atom platform lead by Andrew Daley. Candidates will have a PhD (or close to completion) in
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to their spin properties. Our theory group invites applications for a master’s thesis in the field fault-tolerant quantum algorithms. The specific problem considered is the preparation of ground states and low
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solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security
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qualifications (Master’s or PhD) is preferred. Excellent knowledge of at least one of the following scripting/programming languages: Python, R, Java, C++, C#.Net, SQL. Proficiency in using Business Intelligence
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charging) Predictive charging planning algorithms Railway Smart Pricing models Techno-economic evaluation versus the traditional catenary model This is applied research with validation in simulated
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) Positions PhD Positions Application Deadline 31 May 2026 - 23:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 30 Sep 2026 Is the job funded through the EU
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generalized parton distributions (GPDs). A key component of the PhD will also involve the development of novel algorithms designed to overcome current computational and theoretical challenges in hadron
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algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under