13 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral research jobs at Queen Mary University of London
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About the Role Applications are invited to join an ERC-funded research programme. The successful candidate will work at the interface of bioelectronics, mechanobiology, and disease modelling
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Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https://adsolve.github.io/ ). The current role involves augmenting
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Covert hate speech in state-of-the-art Artificial Intelligence technologies and social Media”, funded by EU Horizon and working with Dr. Arkaitz Zubiaga – https://scholar.google.com/citations?user=IUb
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About the Role We are seeking an enthusiastic and highly motivated Postdoctoral Research Associate to join a BBSRC-funded research programme investigating how immune and metabolic pathways interact
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screening within the cervical screening programme in England and Wales. Under the supervision of Prof Jo Waller, you will lead the day-to-day work on the behavioural science aspects of the project in England
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Candidates must have a PhD in physics or mathematics and research experience in one or more of the following:: cosmology, gravity, or quantum field theory. Experience in cosmology and scientific programming
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is essential. You will develop new experimental techniques and analysis pipelines. You should be confident to plan, deliver and critique your own work and to supervise students/junior team members. You
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/or software engineering are recommended for this position. The post requires strong research, programming, and system development abilities. Applicants must have a track record of publications in
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About the Role We are seeking a motivated researcher to join a programme investigating how the tumour microenvironment shapes metastatic progression. The role focuses on understanding how anti
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research programme with two main strands: (i) bioinformatics experiments to unravel the genetic basis of cardiovascular diseases and discover novel therapeutic targets, including genome-wide association