Sort by
Refine Your Search
-
systematic reviews and meta-analyses, including Bayesian methods Clinical experience in rheumatology, including outpatient clinics Desirable Criteria: Higher degree (MD/PhD) in a relevant field Record of peer
-
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
-
following skills and experience: Essential criteria PhD in statistical/psychiatric/behavioural genetics or a related academic area with a strong data analysis component Excellent coding skills with a focus on
-
specialty training Interest in translational cancer research Understanding of clinical research methods and GCP Experience in academic/research environments Excellent organisational and communication skills
-
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
-
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
-
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
-
-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
-
of breast/glioma/melanoma cancer animal models. Experience in contributing to publications with writing up materials and methods referring to histological aspects. MSc degree or equivalent in a relevant
-
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