485 machine-learning-and-image-processing-"RMIT-University" PhD positions in United Kingdom
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://www.birmingham.ac.uk/research/centre-for-neurogenetics/centre-for-neurogenetics Key Techniques: Organotypic brain slice culture Immunohistochemistry and confocal imaging qRT-PCR and Western blotting Immuno-metabolic
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a growing field, with many applications in biomedical devices, electronics, and autonomous machines. Actuators to drive these robots utilise electronic, chemical, pressure, magnetic, or thermal
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includes over 500m2 of studio space at UWE’s Frenchay Campus. We invite studentship applications from enthusiastic individuals who are strongly motivated to help push the boundaries of machine learning and
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imaging using 3 Tesla MRI scanning to investigate brain biomarkers. Collaborate with clinical experts and patient groups, attend conferences and meet leading research experts. Project aims and objectives
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outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and imaging using 3 Tesla MRI scanning to investigate skeletal muscle and energy metabolism biomarkers
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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interactive learning environment. Based at Cranfield University, a global leader in aerospace research, the project benefits from world-class experimental facilities in hydrogen testing and expertise in
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the AI perspective, Machine Learning will be novelly used in order to save time from the training process and improve the robustness and accuracy of the predictions. The Centre for Propulsion and Thermal
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands