46 data-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" Fellowship positions at University of Birmingham
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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and interpret research findings and results from existing data Collect pilot data and demonstrate proof of concept for new methods Main Duties The responsibilities may include some but not all
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interviews with patients and analyse qualitative data. The post holder will be responsible for arranging and conducting the interviews. The research will be conducted in Birmingham and London, and the
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presentation skills Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply
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, the post holder may also undertake behavioural and neuroimaging studies involving children, adolescents, and children with antisocial behaviours, as well as being part of large-scale online data collection
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on equipment. Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Collect, analyse, and interpret research data; this may be through a variety of research
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laboratory and field trials using a range of geophysical equipment such as Ground Penetrating Radar or gravimeters (e.g. Scintrex CG6) to provide benchmark data as well as the quantum technology gravity
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research project. This project will be to acquire single-molecule localisation microscopy (SMLM) data of proteins in T cells. Role Summary Work within specified research grants and projects and contribute
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data and identify appropriate costs To extract relevant data from published economic studies. Such data is likely to include costs, outcomes, assumptions and other parameters To estimate costs and
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and quantum cellular automata, many-body quantum chaos, quantum integrability, (generalised) hydrodynamics, quantum information scrambling, entanglement measures, tensor-network theory. The ideal