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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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on developing and studying privacy-preserving methods, such as differential privacy, Bayesian privacy, federated learning and synthetic data. The aim is to enable meaningful analyses, such as identifying disease
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between multiple robots, contacts with manipulated objects, or other environmental effects. In conventional approaches, these interactions are typically described using highly simplified analytical models
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the BioGeomorphology Laboratory flume, field datasets from restored and natural saltmarshes across the UK, and expertise from researchers in coastal ecology, hydrodynamic modelling, AI, and data science. Objectives
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of extension based on your performance and the acquisition of additional funding. The ultimate objective is to complete your PhD within a four-year timeframe. The research will be based at campus Kulak in
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of molecular datasets, within an interdisciplinary research environment, and researchers will contribute to the development of a project with a clear translational objective. We welcome expressions of interest
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We are seeking to appoint a research assistant who will undertake research towards a PhD degree in Mechanical Engineering. The project objectives are to develop models for the design and analysis
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We are seeking to appoint a research assistant who will undertake research towards a PhD degree in Mechanical Engineering. The main objectives are to develop generalised modelling tools
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, agency and representation in EU institutions? And how are EU and national institutions taking into account this minority in its policy-making? The main scientific objective is to answer these under
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PhD Scholarship This project will develop the next generation of intelligent robotic systems capable of autonomously manipulating small, soft and deformable objects in confined environments