897 postdoc-in-distributed-systems-and-controls Fellowship positions in United Kingdom
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. This role will contribute to the project by: Refining the flow battery design for manufacture and installation in Nepal Developing the control system/BMS for integration with a wider energy management system
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leading overseas university in a research area that is aligned with SIT’s supported areas A keen interest in an academic career Value of Fellowship The Fellowship provides Monthly stipend Overseas
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30 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 4 Sep
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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping
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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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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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(LLMs) in financial risk control and digital economy research. The researcher will assess the performance of an AI-based due diligence assistant through both quantitative analysis and field experiments
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study of high-energy astrophysical systems, particularly making use of simulations. The hired postdoc will primarily focus on the modelling of tidal disruption events, but will also be encouraged to gain
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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