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Resources . About the role The UCL Institute for Environmental Design and Engineering and the UCL Energy Institute are seeking to appoint a Lecturer (Teaching) in Financing Net Zero and Healthy Buildings
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College of Chemistry and Molecular Engineering, Peking University | London, England | United Kingdom | about 22 hours ago
that uncover spatial organisation and predict dynamic behaviours in complex tissue systems. Drawing on ideas from ecology and network theory, you will build new tools to model spatial biological processes
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, delivering one of our high priority strategic programmes, you will play a pivotal role in shaping how UCL delivers and successfully sustains change across our Network Modernisation programme. Sitting within
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postdoctoral research associate to use multiplexed synaptic proteomics to investigate how synaptic molecular complexity impacts synaptic function in health and early-stages of Alzheimer’s disease. This position
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Our research strength is identifying the causes of mental disorders and suicide to develop clinical trials of novel complex interventions. PhD: 3-4 years full-time; 5 years part-time; Apply now
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machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise cellular graphs) of the spatial
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in the analysis of complex healthcare problems. Of particular interest would around the appraisal and evaluation of healthcare technologies and data science approaches. This work is key to the Division
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in the analysis of complex healthcare problems. Of particular interest would around the appraisal and evaluation of healthcare technologies and data science approaches. This work is key to the Division
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refinement of an implementation toolkit, aimed at supporting local adoption and enabling future national rollout. Working closely with the Chief Investigator, Prof. James Kirkbride (UCL), and Deputy Chief
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interventions to extend human healthspan. Techniques: Data mining Transcriptomics Proteomics Statistical Analysis Machine Learning Genetics Molecular Biology References: Developmental mitochondrial complex I