12 condition-monitoring-machine-learning Fellowship positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
-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
-
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
-
bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
-
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
-
Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
-
receptor T (CAR-T) cells. The Fellow will be closely involved in the investigation and management of patients with conditions that mimic a brain tumour. This is a one-year full-time (40 hours per week) post
-
following skills and experience: Essential criteria A Science or healthcare-related first degree (minimum 2:1) Demonstrated interest in working with people with neurodevelopmental conditions and/or in
-
receptor T (CAR-T) cells. The Fellow will be closely involved in the investigation and management of patients with conditions that mimic a brain tumour. This is a one-year full-time (40 hours per week) post
-
and wellbeing programme and an evaluation of the feasibility and acceptability of a novel remote monitoring model in rheumatoid arthritis outpatient services across south-east London. The post-holder
-
health, and long-term conditions. Experience working with individuals impacted by cancer or other long-term physical or mental health conditions. Experience with psychophysiology methods. Experience with