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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/37947 Job Number SE144024 Position Information Department or Unit Name Career and
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] * Background of the recruitment and description of the project Kanazawa university has been conducting research and education of network system technologies including artificial intelligence, big data, IoT and
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University of California Agriculture and Natural Resources | Oakland, California | United States | 12 days ago
employs over 1,600 academic and staff personnel. The incumbent applies advanced data analytics, programming, and data integration skills to extract, clean, and analyze large and complex financial datasets
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-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk
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20 Dec 2025 Job Information Organisation/Company CNRS Department Institut de physique de Rennes Research Field Engineering » Materials engineering Physics » Acoustics Researcher Profile First Stage
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the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises: An stipend for 3.5 years (currently £20,780 p.a. for 2026/27) in line with UK Research
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well as providing general care to ensure their overall welfare. You will also evaluate the condition of animals, collect and record health data, and help maintain a clean, safe, and sanitary environment. In
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OPEN APULIA Patti Territoriali per il sistema universitario pugliese 2022 | Italy | about 1 month ago
an optimal data analysis model that is applicable and reproducible on a large scale and across different environmental conditions and farming systems. The expected outcomes will make it possible to integrate
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, preferably two years. Ph.D. training in clinical pharmacy, social & administrative pharmacy, pharmacy education, or pharmacy informatics/big data analysis. Experience in pharmacy practice Demonstrated ability