103 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIVERSITY-OF-SOUTHAMPTON" positions at University of Leeds in United Kingdom
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We are recruiting for multiple part-time roles, all of which will be based on the university campus with scope for them to be undertaken in a hybrid manner. We are also open to discussing flexible
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). This role is an exciting opportunity to take a role in the development, management and analysis of a new repository of Individual Participant Data (IPD) from ageing research trials. The work is an
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individual, committed to delivering an excellent student experience? Do you want to help to deliver and develop student opportunity within the School of Education? You will be supporting key streams of work
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to develop and deliver a high quality technical architecture service? Do you have experience of delivering customer service excellence and a commitment to developing and maintaining continuous service
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Are you an experienced and inspiring Family Therapist with highly developed teaching skills who is passionate about the training of Family Therapists/Systemic Psychotherapists? Are you interested in
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Research team, including developing the strategic direction for new research and increasing grant income. This is a very exciting opportunity to join an internationally recognised centre for applied ageing
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Science to teach on, enhance and develop a range of taught postgraduate and undergraduate programmes focusing on data science applications in the music industry. You will possess a postgraduate degree and
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School of Dentistry Are you interested in teaching undergraduate and postgraduate dental students in paediatric dentistry? Do you wish to continue to develop your skills in this area and contribute
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responsible for providing technical expertise in the development, support and maintenance of wired and wireless technologies and the move to Azure Cloud Services and Zero Trust networking. You will engage with
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international specialists. Within Cumulus, you will lead the development of “downscaling” methods for sub-seasonal (2-4 week) forecasts. Our priority will be to implement deep-learning based methods, to turn