Sort by
Refine Your Search
-
for this role. This role will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant
-
Completed core medical training and currently in higher specialty training Interest in translational cancer research Understanding of clinical research methods and GCP Experience in academic/research
-
specialty training Interest in translational cancer research Understanding of clinical research methods and GCP Experience in academic/research environments Excellent organisational and communication skills
-
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
-
Evaluation (CMHPE), utilising their mixed methods their mixed-methods (ideally qualitative and quantitative) expertise. The role includes planning, coordinating, executing, and reporting on evaluation and
-
-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In
-
experience: Essential criteria PhD in psychology, neuroscience, or related discipline. Research experience at the Postdoctoral level. Experience conducting clinical trials, particularly research in NHS
-
. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in cancer immunology, virology, cell biology or molecular
-
spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
-
to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Extensive experience working in bioinformatics with large datasets Previous experience in statistical