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Field
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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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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, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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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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. About the role You will work closely with Prof. Hanna Kienzler, Prof. Stephani Hatch, and Dr Rebecca Rhead as part of the Centre’s ‘Marginalised Communities’ programme. This involves partnering with Black
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or experimental means. The PDA is expected to actively disseminate results through publications in
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must