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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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EPSRC ReNU+ CDT PhD Studentship: Physics-informed machine learning for deep geothermal systems under uncertainty. Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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. Project proposals should assume utilisation of data from Crowdcube, Seedrs, and firm-level sources such as Companies House and Beauhurst, and consider use of natural language processing, computer vision
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Faculty of Engineering and Science, AAU Energy offers a PhD stipend
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At the Faculty of Engineering and Science, AAU Energy offers a PhD stipend position within the general study program. The position is offered in relation to the research group Underwater Technology
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to the computational modelling efforts at the Materials Theory Group. We are seeking a candidate with a strong background in artificial intelligence and machine learning, applied to condensed/soft matter physics
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) Strong skills in machine learning and deep learning Experience with modern NLP methods, including transformer models
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) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
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by developing AI methods that improve recognition of rare species while providing reliable measures of uncertainty. Using state-of-the-art computer vision approaches — vision transformers, self