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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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) Start date: September 2026 Project Title: HEALS: Heat, Health, and Learning: Co-Designing Climate-Resilient Strategies for Primary Schools in Oxfordshire Director of Studies: Prof Rajat Gupta Supervisors
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-quality educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a
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educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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or qualification, field of scholarship, and accomplishments in the field. Minimum Number of References Required 2 Maximum Number of References Allowed 3 Keywords Machine Learning Reinforcement Learning Foundational
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16 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer architecture Computer science » Computer hardware Researcher
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, the details of the process are not yet fully understood. Mechanistic learning, the combination of mathematical mechanistic modelling and machine learning, enables a data-driven investigation of the processes
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decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks . For more information about working at ISY, please visit: https://liu.se/en/article/open-positions
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Your profile PhD applicants must hold a Master's degree in computer science, mathematics, or electrical engineering, with demonstrated strength in either practical implementation or theoretical foundations. Candidates should possess an exceptional academic record and a strong mathematical...
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application