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other relevant fields. You have programming experience in Python and/or R (e.g. scikit-learn, PyTorch, TensorFlow). You have knowledge of omics technologies, ideally mass spectrometry and chemometrics
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, are encouraged to apply. Programming experience and analytical skills are highly valued. The studentship will be awarded on the basis of merit. Students who pay international tuition fees are eligible to apply
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, physics, or similar, with a strong Machine Learning or simulation background In depth practical experience in at least one programming language (preferably Python) Ideally, some practical experience in
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Engineering Department in the Faculty of Environment, Science and Economy and spend most of their time at the Streatham Campus in Exeter. Research on this project will be desk-based and will require programming
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of the role. However, please note that responsibilities of this role, linked to delivering the SleepBoost intervention within the community, will necessitate regular in-person sessions in North Tyneside, and
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at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . WE OFFER The position will be filled for a period of 4 years (2 + 2). The starting date is in October 2025 or as
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program . Proficient written and oral English language skills PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be
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of sound waves, as well as transducers and related signal processing, in a wide range of scenarios: sound for the communication between humans (speech and music); the influence of sound (noise) on humans and
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internationally-oriented, interdisciplinary research of high societal relevance with our research programme TRACE (Transformations, Communities, and Environments). Our motto is: we are making places better
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis