126 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Nottingham in United Kingdom
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All our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Our university is a supportive, inclusive, caring and positive community. We welcome those of different cultures
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well as extensive experience in data analytics/advanced statistics/machine learning is desirable. Research experience in flavour science and/or food chemistry is advantageous. As a people-orientated individual, you
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understanding and process optimisation. The work will primarily feature the integration of high data-density reaction techniques, laboratory automation & robotics and kinetic/machine learning modelling
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, together with evidence of managing cash-handling/reconciliation processes. Previous experience working with computer-booking systems would be desirable. The role is key to ensuring a first class and seamless
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. Previous experience working with computer-booking systems would be desirable. The role is key to ensuring a first class and seamless experience for our student, staff, alumni and public members. Excellent
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Testing Technical Apprenticeship to learn the skills needed to support the operational, research and teaching requirements of the materials laboratories across the Mechanical, Materials, and Manufacturing
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positive attitude and the ability to learn new skills and procedures. What we can offer you: A friendly, diverse, and supportive working environment A hybrid working arrangement with the blended approach
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of the role, please see the accompanying role profile form. We are looking for candidates who can teach and shape our undergraduate and postgraduate curricula in International Commercial Law, specialising in
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purpose of the role is to lead and provide a consistently excellent standard of teaching and support for student learning on our medical programme, to contribute to medical curriculum development, quality
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to learn the skills needed to support the operational, teaching and research requirements of both the Electrical & Electronics Engineering (EEE) and the Foundation Engineering & Physical Sciences (FEPS