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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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functional theory. - Effective Hamiltonian methods for quantum phenomena in solids. - Development of machine learning tools for topological materials. - Experimental studies of magnetotransport in quantum
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Data Scientist (Artificial Intelligence). We now invite applications for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 10 hours ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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emphasis on science and engineering research. Learn more and apply Ariel University Department of Physics (https://www.ariel.ac.il/wp/physics/en ) If the link does not work from your country please google
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-based learning environments. Your competencies You must hold a PhD in a relevant field and demonstrate a proven scientific track record within media technology. We expect documented expertise in real-time
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23
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Department. Profile You hold a master’s degree in Electrical Engineering, Computer Engineering, Telecommunications, Computer Science, or a closely related discipline, or you will have obtained it by the time
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experience – 40% Evaluation of academic performance and/or relevant professional experience in machine learning, AI, software engineering, or security-related domains. Research track record and scientific