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We are seeking a well organised and self-motivated researcher to work on the Faraday Institution funded SOLBAT and/or LiSTAR projects, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural Biology
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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Biology, Biochemistry, or Biophysics. You should be driven, have experience in protein production and good background in structural biology and biophysics. As your project will likely use a combination of
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existing machine learning methods, as well as building robust, well-documented, and reproducible analytics pipelines for long-term use by the wider team. You will carry out data analysis and manage
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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experimentally investigated. About you You should possess a PhD or DPhil (or be near completion of) in the field of engineering, physics or applied mathematics together with relevant experience in the field
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the Schmidt Sciences Foundation, and also working under the supervision of Prof Wooldridge. Candidates will be expected to have a PhD (or be close to completion) in a related area. The primary selection
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leading experts worldwide. Aarhus – a vibrant university city by the sea, combining rich cultural life with easy access to nature. Qualifications PhD in mathematics (completed or expected before start date