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Experience with machine learning algorithms and ideally experience developing novel methods Understanding of basic biological principles and experience interpreting ‘omics data Ability to analyse information
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professionally with all stakeholders, providing an excellent service to students and colleagues. The post holder will be working as part of a team completing tasks in addition to the creation and distribution
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signal processing Extensive research experience and scholarship on radar systems and signal processing, ideally for distributed radar sensors, and general knowledge of the effects of oscillator
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cover measures are in place. Collaborates with the Senior Technical Services Manager, initiating communications to users to distribute relevant knowledge and updates regarding health and safety. Actively
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environment will provide you with unique development opportunities. This project is a part of a larger project which will involve two other postdocs and two PhD students in the coming years, within a Wellcome
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the prevalence and risk of modern slavery. There will be a focus on Bayesian nonparametric methods and practical development of MCMC algorithms that can be applied to data. Translating the project findings
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support a variety of research projects within the ITM Research First Team. The post holder will undertake a variety of roles, including the distribution of study packs and questionnaires to study
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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for meetings, including the setting of dates, distribution of calendar invites, meeting room and accommodation bookings, seating plans, catering, placenames, reception of attendees, co-ordination
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units and steam boiler plant. Power being distributed via the University’s private wire system consisting of 32 HV substations and is connected to the grid via a 132/11kV primary substation and heat is