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outputs with electrochemical performance data from a variety of analytical techniques (e.g. diffusion, conductivity, power density etc) (D) Highly confident and articulate with outstanding communication and
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neurodegenerative disorders. The role centres on enabling high-quality, reproducible analysis across prescription data, longitudinal clinical records, wearable time-series data, and multi-omics datasets, with
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neurodegenerative disorders. The role centres on enabling high-quality, reproducible analysis across prescription data, longitudinal clinical records, wearable time-series data, and multi-omics datasets, with
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by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side
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and experimental data, the student will develop predictive models of strand displacement reactions in non-ideal settings, in collaboration with the other students within BIOHYBRITE. These areas include
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), Policy, Bureaucracy and Organisation (PBO), Oslo Political Theory (OPT), and Political Data Science (PODS). The Department also hosts the interdisciplinary Center for Research on Extremism (C-REX). About
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conflict. More information about the project can be found at psypartitions.com . The successful candidate will be responsible for research into one of the project’s three main case studies: the Partition
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healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models. Working closely with
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modelling to address missing data and uneven data collection across different centres. Second, based on our recent deep learning biomechanics modelling work, you will perform cardiac biomechanical modelling
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-economic considerations, to rank hot spots and inform the creation of centralized, global AMR data repository integrating hotspot-specific surveillance data from multiple sectors. In addition, you will