42 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Lancaster University
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to explore, learn, and grow. You'll engage with children through a wide range of valuable learning activities, turning everyday moments into learning adventures. Whilst also undertaking your Level 3
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hyperexcitability underlying predisposition to aberrant perceptions such as visual distortions and hallucinations. The role involves designing, programming and conducting computer-based experiments to assess
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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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positive change by being ambitious in our learning, expertise, and action. ABOUT YOU You will: Have experience of providing a high level of customer service. Have the ability to prioritise workload to meet
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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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People from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator
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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 contact
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-25 Is this the job for you? Are you passionate about giving children the very best start in life? Do you thrive in a creative, dynamic environment where imagination, play, and learning go hand in hand
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to work alone and as part of a team. Excellent computer skills including Microsoft Office and the ability to learn new software packages and systems. A curiosity and willingness to learn both for your own
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at Lancaster on our website - https://www.lancaster.ac.uk/jobs For an informal chat about the role, please contact Prof Rebecca Willis (r.willis@lancaster.ac.uk ).