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ecological models using the Oceananigans.jl infrastructure. This is an exciting opportunity to be part of an international collaboration (the Simons Foundation funded Computational Biology in Marine EcoSystems
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the Centre for Research Staff Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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• A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and committed with a keen interest in creative and multidisciplinary research
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Professor Marguerite Nyhan invites applications for a Postdoctoral
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The School of Microbiology is seeking to employ a Post
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. You will coordinate with another postdoctoral research associate, focused on computational modelling, and publish your research findings to achieve project goals. You will contribute to knowledge
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computational pipelines suitable for downstream integrative and AI-driven discovery. The role includes training PhD students, contributing to grant applications, project planning, and leading the preparation
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. Researchers benefit from state-of-the-art optics and prototyping facilities, high-performance computing for AI-driven analysis, and direct access to clinical environments. This multidisciplinary ecosystem
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laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science, Robotics, Mechatronics
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Biology team leader, you will also work alongside colleagues in the Screening and In Vivo teams and with medicinal and computational chemists to progress projects from target identification to in vivo proof