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to understand the underlying factors that encourage firms to adopt technology, and how these relate to productivity and growth. Work on reports, publications, and applied tools. Communicate the findings and
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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oriented team. In addition, a programmer and experimental laboratories are available to the working group for the preparation and implementation of research work. The tasks include scientific research and
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biologists, statisticians, software engineers and molecular biologists. You will be embedded within the “Mitigating Gram-negative infections” theme in our Health Protection Research Unit in Healthcare
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Role & Project: Our Engineering team in the Faculty of Science and Engineering is recruiting a Research Associate to join them on a 17-month fixed-term contract to undertake research in the field
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Aalto University is looking for an Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering [Academic Research Software Engineer] to a postdoctoral-level position. The
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Role: Postdoctoral Research Associate in Spin-Optomechanical Systems in Silicon Carbide Directorate: School of Engineering and Physical Sciences Contract Type: Full Time (1FTE), Fixed Term (2 years
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biologists, statisticians, software engineers and molecular biologists. You will be embedded within the “Mitigating Gram-negative infections” theme in our Health Protection Research Unit in Healthcare
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are looking for an Associate Research Fellow to join STARS and HSMA until 31st March 2026 in the first instance. We need you to have a high aptitude and passion for learning how to use new technology, and
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: Qualifications A good first degree in Chemistry, Physics, Chemical Engineering or Natural Sciences A PhD (or be close to submission) in Solid State Chemistry or a related subject. Experience Experience in