8 algorithm-sensor-"DIFFER" Fellowship positions at University of Birmingham in United Kingdom
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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algorithms Correlate/Integrate In Vivo and Ex Vivo metabolite analysis to understand the key metabolic pathways in different tumour types and subtypes Identify and harmonise MRI and MRS acquisition protocols
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-edge research in machine learning and automated reasoning for safe algorithmic systems. The Research Fellow will be responsible for developing advanced theory and machine learning algorithms
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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programming skills are UNIX/LINUX, and programming languages such as Python, R or MATLAB. Role Summary Implement and test different ML architectures for postprocessing precipitation forecasts over India
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Experience with machine learning algorithms and ideally experience developing novel methods Understanding of basic biological principles and experience interpreting ‘omics data Ability to analyse information
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the scope of the CRF one-year contract, individuals may also be supported to apply for PhD funding for a different role to commence at the end of the CRF contract. *This is a 1-year post to gain clinical
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the partnership, the Associate will develop the ability to: (i) model and predict fluid flow and system performance for large-scale systems; (ii) assess how different types of fouling may affect the membranes and