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                reviewed scientific publications. Your profile PhD in Computer Science, with specialization on applied machine learning, statistical methods, and/or software engineering Strong programming skills Strong 
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                computer science and mathematics, a BSc in artificial intelligence, an MSc degree in data science, and an MSc in quantum computing. Candidate Profile We are looking for highly motivated candidates interested in 
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                limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization 
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                are passionate about any or all of the following: Data Science, Computational Social Science, Behavioral Economics, Human-Bot interaction, Experimental Research, Game Theory, and Artificial Intelligence. Some of 
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                Application Deadline 16 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff 
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                . The candidate should hold a PhD degree in Computer Science, Engineering or related discipline, with a good track record of publications. Ideally, they will have experience in artificial intelligence or related 
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                degree (Master or equivalent) in a relevant field (for PhD positions) or already holding a PhD (for Post-Doc positions) Passion for High Performance Computing and research Team spirit and readiness 
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                We have a new and exciting opportunity for a Senior Postdoctoral Researcher to join the new Oxford-GSK partnership focused on biostatistics and artificial intelligence (AI) for application in 
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                main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications 
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                healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning