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web technologies Experience in teaching bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms
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knowledge, we enable our students and staff to experience the joy of learning, teaching, research and innovation, and apply their knowledge for the benefit of others. UWS is officially ranked by Times Higher
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psychiatry and medicine, psychiatry and occupation, psychiatry and the military, and psychiatry in different settings. About the role This is an exciting opportunity for a foundation grade or equivalent doctor
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the design and delivery of transformative CPD, modular programmes, and professional learning pathways that directly respond to evolving workforce needs in health, education, sport, and beyond. Aligned
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environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant. an accredited Disability Confident Leader
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University of the Arts London, Camberwell, Chelsea and Wimbledon; | London, England | United Kingdom | 14 days ago
, animation and computer games. As well as delivering stimulating teaching, you’ll also support students with their progress, offering academic and pastoral support that will help students to thrive. Working
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students. The computer revolution started here in 1948 when a machine known affectionately as ‘The Baby’, ran its first stored program. The celebrated wartime codebreaker Alan Turing worked on this computer
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experiential learning programme; and the King's Academy, which leads pedagogical innovation in the AI era. Working across nine distinctive faculties, you will champion educational excellence and broader student
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The Role As a researcher in machine learning, you will work on the project “Advanced chemical data analysis software for Fast CBRN (Chemical, Biological, Radiological, & Nuclear material) detection and
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, ELISPOT, flow cytometry, B and T cell receptor sequencing, and transcriptomics. You will develop a reproducible informatics and machine learning pipeline to process large volumes of sensitive trial data in