56 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" research jobs at University of Nottingham in United Kingdom
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are encouraged to discuss the details with the project leads: Dr Emma O’Dowd emma.odowd@nottingham.ac.uk and Professor David Baldwin david.baldwin@nottingham.ac.uk . You will be expected to plan and conduct work
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Applications are invited for a Research Associate/Fellow on an NIHR Invention for Innovation (i4i) Programme-funded project in the Breast Cancer Pathology Research Grou within the Nottingham Breast
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The role-holder will work dynamically within the Rights Lab’s Law and Policy Programme to support collaborative research projects focused on antislavery and anti-trafficking governance, focusing
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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and gain industry recognised qualifications. - Ongoing support to develop your skills and gain industry recognised qualifications. - Employee Assistance Programme and Counselling Service- 24/7 support
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. This includes responsibility for ensuring our programmes offer an equitable and high-quality academic experience, for developing access pathways and apprenticeship programmes, and for embedding a culture of
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About the role - The role-holder will work collaboratively to support this Rights Lab research project. The role holder will be expected to work collaboratively as part of an interdisciplinary team, as well as undertaking independent research on the topic of risk of human trafficking among...
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to plan and conduct work using approaches or methodologies and techniques appropriate to the type of research, and will be responsible for writing up work for publication. You will ideally have experience
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computational arm of a Leverhulme Trust-funded project investigating how cryogenic OrbiSIMS interacts with complex biomolecular structures. Working closely with experimentalists and international collaborators
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm