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terrestrial networks, non-terrestrial network entanglement distribution. Your profile PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and
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subgroups Support public health policy, prevention and hospital planning Provide meaningful feedback to patients, clinicians and policymakers The PhD will work at the interface of machine learning, deep
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learning and statistics, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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Apply Now How to Apply To be considered for this position, please only submit materials through our Interfolio Posting: https://apply.interfolio.com/180863 Candidates are asked to submit: a cover
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application development experience Maritime operational knowledge & experiences. Large Language Model-based application development. Deep Learning techniques, Data Engineering, and Semantic Technologies Open
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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position at the global vanguard of data science and artificial intelligence. The successful candidate will lead a distinguished faculty and a vibrant community of researchers dedicated to bridging deep
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) a European master's degree in Computer Science or Electronics Engineering, with excellent ('honors'-level or above) grades. You have a strong foundation in control theory, deep learning or computer
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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan