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science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato
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open, reproducible science. This exciting and challenging project will be jointly supervised by Prof Rossiter (Soft Robotics) and Prof Kent (Psychology) but will offer many networking opportunities and
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memory and induced resistance to pests and diseases (Smith with Prof. Jurriaan Ton; Naish et al., Science 2021; Yao et al., Science 2023) A vibrant, international community. We are a welcoming
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July 9th 2025; interview of shortlisted candidate to occur July 17th- 18th. Informal enquiries can be directed to mcelherm@tcd.ie (Dr Matt McElheron; computational biology lead) and nbourke@tcd.ie (Prof
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
environment in proteomics, protein chemistry, biomolecular mass spectrometry, and computational proteomics. Qualifications We are looking for a highly motivated and enthusiastic candidate with excellent
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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Salary Range £31,637 - £37,174 per annum School/Department Computer Science and Mathematics Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical