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Refine the pressure-sensing system, calibration and control algorithms Contribute to the durability testing and validation to meet ICU clinical standards Collaborate with a multidisciplinary team of
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communication in English. • Ability to work with colleagues of different background, as well as conduct pilot study on construction sites. • Familiar with construction workflows and optimisation algorithms
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Location: Bay Campus, Swansea About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and
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, autonomous learning agents are likely to take an active role in human society, engaging in daily interaction and collaboration with humans. Developing learning algorithms that enable these agents to produce
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algorithms for optimal operation of grid-integrated LDES; Develop a co-simulation framework to analyse LDES performance under different grid scenarios. Collaborate with consortium partners to translate
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27.10.2025 Application deadline: 30.11.2025 Are you excited about the possibility to explore ethical, philosophical, legal, epistemic or social implications of using machine learning in different
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cell-tracking algorithms, we can follow thousands of individual cells in real time as they respond to carefully designed chemical and mechanical cues. These approaches generate uniquely rich datasets
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
of Mathematics and Computer Science (IMADA), and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
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comparing models with entirely different structures and parameter counts, whether comparing linear regression against mixture models or decision trees. MML is strictly Bayesian, requiring prior distributions