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to join our research program focused on Epstein-Barr virus (EBV) oncology. The ideal candidate will investigate the complex landscape of virus-host interactions, specifically utilizing mass spectrometry
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interaction (HCI) and user interface design for complex systems, with a focus on participatory design and natural-language control. We welcome candidates from an HCI/design background who is confident in
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of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer
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. Ph.D. in a relevant field Expected skills/functions: Engage in research and train large AI models for science Generate new large scientific datasets Develop and maintain complex codebases Read literature
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for Photocatalytic CO2 Conversion. The project aims to pioneer direct atomic layer deposition (ALD) routes to complex ternary sulphide thin films and to harness their potential for photocatalytic conversion of CO2 and
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key responsibilities will be to: work on an ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods
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, engaging effectively with colleagues across technical and social-scientific domains. They will be organised, methodical and able to communicate complex computational concepts clearly to wider audiences
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independently and within a team setting as well as an enthusiasm and self-motivation within the research setting. Applicant should be proficient with complex flow cytometry analysis, in vitro cell culture
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vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading to new applications of machine learning and artificial intelligence
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that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental