34 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Lancaster University in United Kingdom
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Science and Cyber Security with agility to teach other areas of our undergraduate curricula. Please see the person specification below for details. To be successful you will have: A Doktor degree (PhD) in a
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will be spent on both aspects of the role. You should have a postgraduate degree in Statistics, machine learning or a related discipline and a track record of methodological research relevant to Prob_AI
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creative, dynamic environment where imagination, play, and learning go hand in hand? Do you want a career that makes a real difference every single day? If the answer is yes, we’d love to hear from you
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-luleipzig@lancaster.ac.uk Further details about Lancaster University Leipzig can be found at http://www.lancasterleipzig.de/ We welcome applications from people in all diversity groups. Lancaster University
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the collaborative MURIDAE Cluster of the MRC National Mouse Genetics Network (NMGN, https://nmgn.mrc.ukri.org/clusters/muridae/ ). The MURIDAE project aims to elucidate how recently identified schizophrenia risk gene
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benefits on our website - https://www.lancaster.ac.uk/jobs To find out more about joining our award-winning Facilities team and an informal chat about the role, or to request a paper application form, please
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with parental or caring responsibilities additional flexible benefits to suit your needs and interests, some with tax-savings. Find out about more of our employee benefits on our website - https
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knowledge areas include cyber-security, applied machine learning and data mining, intelligent video analytics, natural language processing and artificial intelligence, autonomous learning and dynamically
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revision techniques, and participating in teaching reviews and quality assurance processes. We are particularly looking for candidates who are passionate about creating an outstanding lab-based learning
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bringing together observations and global atmospheric models using innovative statistical and machine-learning approaches. It will provide the first clear attribution of how different physical, chemical and