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Field
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Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development
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/ Candidates should have a PhD or equivalent with a strong background in HIV virology, molecular virology, immunology, and molecular/cellular biology. Experience with inflammasomes, molecular screening
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for Data Analytics, based at the School of Computer Science & IT, University College Cork, Ireland. The Post-Doctoral Researcher will work in the intersection of various ongoing projects related to user
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collaborators. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of experimental physics, engineering, or a related field Effective communication skills, both verbal
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predicts battery performance and properties from fabrication line measurements. About you Hold (or be near completion of) a PhD/DPhil in Control Engineering or a related subject, with the possibility
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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weighting The Department of Computer Science seeks to employ a postdoctoral researcher to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge
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. Supervise Bachelor’s and Master’s theses within the scope of the project. Contribute to the preparation of research proposals and technical reports. Your profile PhD in civil/structural engineering (or
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC