884 postdoc-in-distributed-systems-and-controls Fellowship research jobs in United Kingdom
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, distributional impacts of policies, socio-economic modelling, or quantitative policy evaluation. Research with direct implications for public policy is preferred, particularly in areas related to energy, social
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future generations. The Department comprises more than 25 research groups, working at every level of biological organization from genes to ecosystems. We are keen to increase diversity in our academic
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Salary: Full time starting salary is normally in the range £36,130 to £45,413 with potential progression once in post to £48,149 Contract Type: Fixed Term contract up to September 2027 Background
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The School of Law at the University of Warwick welcomes applications from an outstanding postdoctoral scholar to apply to The British Academy Postdoctoral Fellowship scheme, for Fellowship hosted
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer
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About us Inclusion as a Norm at King's - Leadership, Understanding the issues, Developing individuals, Enacting change (INKLUDE) is a Wellcome funded 2 year project which seeks to implement and
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the widest needs of the organisation. 8. Ability to demonstrate professionalism and command respect with academic and non-academic staff at all levels. Desirable criteria 1. Experience of working with
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, molecular biology techniques as well as transcriptomic and proteomic profiling. The postdoc will be expected to work with a high degree of independence in day-to-day work, and is encouraged to contribute
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing