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11th October 2026 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow within Renewable Energy
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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and data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Jul 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5
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-guided design-build-test-learn workflows, and open algorithms, benchmarks and reproducible research. This is an exciting opportunity to help shape a frontier AI for Biology programme, publish high-impact
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closed-loop discovery within a new AI for Biology Group at EI. The successful candidate will create novel AI algorithms that generate and refine biological designs, prioritise experiments, and learn from
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Integrating Health and Social Care Economics School of Medicine and Population Health PhD Research Project Competition Funded Students Worldwide Dr Becky Pennington, Dr M Hernandez, Prof A Wailoo