10 programming-"https:"-"https:"-"https:"-"https:"-"CSIC" Postdoctoral positions at Queen Mary University of London in United Kingdom
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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
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About the Role We seek an experienced researcher to lead an exciting programme of work on young people's health. We are researching models of care that integrate health and youth services, engage
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cancer. This role will contribute to an ambitious programme of research aimed at understanding and improving how diagnostic test results are managed and acted upon in primary care. The postholder will lead
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biological field. You must possess documented experience managing spatial/scRNA transcriptomics workflows. Strong programming proficiency in R or Python is essential. Proven experience in data acquisition