137 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Cambridge
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at the College which currently comprises of Future Global Leaders, Lucy Enterprise and the Life Sciences Community Programme. We seek a driven individual who shares our values to assist with planning and
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Jesus College Cambridge are seeking to appoint an Access and Outreach Officer, to coordinate and deliver the College’s year-round programme of activities. This will include: Undertaking regular
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of our approach is the innovation of novel methods to investigate genome function. For example, we have recently developed ways to map the binding of nucleic acid-interacting drugs and small molecules
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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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the Department of Computer Science and Engineering, at the University of Cambridge, UK. The Postdoc will work across several projects, interfacing with teams of students and research collaborators on developing
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Ascl1 are important. We have undertaken a comprehensive discovery experiment to identify all the proteins that can physically interact with Ascl1, using a method we developed called RIME (Rapid
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integrating geospatial analysis, explainable AI (XAI), and behavioural research methods, including but not limited to correspondence testing. The Fellow will also support the PI to develop a global
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qualifications, please see the Candidate Pack. We offer 34 days annual leave (includes Bank Holidays), workplace pension scheme, health cash plan, life assurance, employee assistance programme, free on-site
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ethos of its staff. The role holder will be required to participate in activities outside the core job description that are important to the overall development programme and the College. This is a
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developed interpersonal skills. - A good level of computer literacy, including Microsoft Outlook and Excel. - The ability to maintain confidentiality of data. You will enjoy working as part of a team, be