171 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at University of Birmingham
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records that can systematically inform preparedness, training and future response. As a result, learning from past events is fragmented, inconsistently captured, and insufficiently embedded into emergency
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data set (e.g. neutron irradiations, that take years/decades to generate). Digilab brings AI/ML (artificial intelligence / machine learning) approaches for data engineering and automation to utilise
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship
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. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: Do SR techniques improve human face identification accuracy? How do SR-enhanced images affect
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systems and tools to respond using an ‘all hazards’ approach. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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applicable across emergency preparedness and response settings. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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at https://www.kcl.ac.uk/jobs and attach the following additional documents to your application: Up-to-date CV. A supporting statement, detailing how you meet the essential criteria listed in the person
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Trials - https://rarediseasetrials.org.uk/ . The project director is Professor Timothy Barret (https://www.birmingham.ac.uk/staff/profiles/cancer-genomic/barrett-timothy ), Professor of Paediatrics and
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on the project can be found here: https://hecustom.eu/ This post will contribute to the creation and validation of a digital twin (with biological bone models) to assess and interrogate the issue of
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from Thomas Ingeman-Nielsen, tel.: +45 4525 2251 / +45 5385 8075. You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are applying from abroad, you may find useful information