64 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Cambridge in United Kingdom
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LAST_RESULT_ENTRY_KEY [x2]Used to track user’s interaction with embedded content. Maximum Storage Duration: SessionType: HTTP Cookie YtIdbMeta#databases [x2]Used to track user’s interaction with
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PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis for synthesis. A doctoral position is
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Experience with Sage Intacct or other Sage products As well as a great salary and friendly team you will also receive: Working daily allowance for food and drinks Free car parking (where available) 25 days
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website areas. Without these cookies, the website would not be able to work properly. Service: Cookie Information Purpose: Supports the website's technical functions. Privacy policy: https
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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friendly team you will also receive: Working daily allowance for food and drinks* Free car parking (where available) 25 days holiday plus bank holidays (increasing with length of service) Generous pension
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refer to the Candidate Information Pack. For further information, please see the choir website: https://www.jesus.cam.ac.uk/chapel-and-choir . For an informal discussion about the post, please email
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be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/blpapdpth More about the project: Project Title:Dissecting the body-wide spatio-temporal organisation of human resident T