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programming skills. Expertise in developing computer vision and machine learning algorithms would be desirable, highly motivated and enthusiastic about advancing AI for societal impact. Qualifications A high
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requirement. A very good command of the English language, both written and spoken, is a key requirement. Experience in Federated Learning, Computer Vision, Image Analysis, Mathematics, and Mathematical
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written and spoken. Experience with experimental fluid mechanics and computer vision is an advantage. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, with
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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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(including ultra-high-field and ultrafast MRI) Computational and network neuroscience Machine learning and biologically inspired AI Vision science and predictive coding Clinical neuroscience and
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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