336 computer-"https:"-"https:"-"https:"-"https:" Fellowship research jobs in United Kingdom
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cross-sector assessment of green steel requirements for the EPSRC IGNITE Sustainable Manufacturing Hub. The postholder will design and coordinate research programmes, oversee a 12month programme of
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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About the job: As a part of the 14CHRONO team, the research fellow will lead a programme of research and development into novel thermally-driven evolved gas analysis (EGA) molecular separation
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Studies. Working under the supervision of Professor Rita Abrahamsen (Chair of African Studies), the successful candidate will develop and pursue an ambitious and original programme of research within
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wider research culture of the University. A key component of the role is the opportunity to develop your own programme of research. Applicants are therefore required to submit a research proposal (1,500
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-intensive Universities? As a Research Fellow in Computational Climate Politics you will work on the UKRI FLF project “Understanding normative change to address the climate emergency ”. This is a 4+3 grant
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biggest challenges. We are seeking a Research Fellow in Liquid Metal Artificial Enzymes to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during