130 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Nottingham in United Kingdom
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of Mathematical Sciences to plan and deliver high-quality teaching and assessment for modules in at least one of the following areas: statistics, applied mathematics or pure mathematics. The Teaching Associate will
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. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, and wellbeing activities and state of the art sports facilities. Uniform
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programme to help you progress in your career. The post is offered on a full time (36.25 hours per week), fixed term contract until 31 May 2026. Applications are also welcome from candidates wishing to work
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industry recognised qualifications. Personal and Career Development support, and opportunities for career progression. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts
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the development of a high-quality, strategic and market-aligned undergraduate (UG) and postgraduate taught (PGT) programme portfolio Use data-driven insights to inform ESE decision-making and strategy
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the sector, yet a lack of gender-disaggregated data combined with the predominance of gender-blind programming means that workplace protections often miss key threats to women’s wellbeing. The research aims
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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
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discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website You will be expected to: Manage, plan and conduct own research activity using
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We seek to appoint a Postdoctoral Research Associate/Fellow to work in a vibrant and multidisciplinary project funded by the EPSRC Working with Centres Programme under the supervision of Dr Anabel
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB