16 programming-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" research jobs at University of London
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Fellow for a Wellcome Trust-funded programme examining how digital environments influence adolescent health. The candidate will lead development of a novel multimodal-GenAI framework to annotate and
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relevance. The post offers an excellent opportunity to work on a new research programme on economic evaluations that use trial data within a highly supportive, collegiate environment. The postholder will work
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on understanding the economic consequences of health benefit package design and the resulting policy changes Supporting a capacity strengthening programme around HBP design in Rwanda and Kenya Contributing to
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, nursing, medicine or a related field, with clinical or programme experience in maternal, newborn and child health. You will have excellent writing and communication skills, experience in knowledge
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have strong programming skills in at least one relevant language, such as R, Python, C or C++, and experience implementing, running, debugging or documenting computational models, simulations
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available in the DELTA core function of the NIHR Maternity Disparities Consortium , a £50million national programme that aims to improve maternity and neonatal outcomes across the UK and reduce inequalities
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About the Role This postdoctoral position supports a Cancer Research UK-funded research programme investigating epithelial cell heterogeneity during the initiation of pancreatic cancer, with a
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Council-funded programme grant. This will involve in-depth analysis of the interface between Klebsiella and the gut microbiome, leading to the discovery of microbiome consortia with enhanced colonization
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or regulatory decision-making. They will have strong knowledge of machine learning research methods, excellent programming skills, and the ability to communicate complex ideas clearly to academic and non
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research and methodological development experience. Candidates will need to have significant experience programming statistical methods, preferably in R, as well as experience handling missing data using