143 computational-physics "https:" "https:" "https:" "https:" "Trinity College, Dublin" positions at Ulster University
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. The programme consists of four themes, covering all disease areas: Theme 1: Diagnostic and prognostic indications Timely identification of disease strongly influences the outcome and the cost of healthcare, but
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advanced AI/ML methods to neural and behavioural data to uncover the computational foundations of decision-making in humans and animals. Designing novel AI algorithms inspired by brain function, to improve
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). Active inference: A process theory. Neural Computation, 29(1):1–49, 2017. doi:10.1162/NECO_a_00912 * Chowdhary, Raza, Meena, Dutta & Prasad (2017). Online Covariate Shift Detection based Adaptive Brain
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are seeking an enthusiastic candidate from a background in biological sciences, computing, mathematics, physics, or engineering. A strong interest in neuroscience and a willingness to work across disciplines
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autism spectrum disorder. Disability and Rehabilitation: Assistive Technology, 13(4), 353-365. Communication Matters, 2023 https://www.communicationmatters.org.uk/ (including Communication Matters Journal
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, Vol. 12, No. 5, 2021 Hechler, E., Oberhofer, M. and Schaeck, T. (2020), Deploying AI in the Enterprise, Apress Berkeley, CA, https://doi.org/10.1007/978-1-4842-6206-1 Programme for Government 2024–2027
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research methodology is coupled CFD (Computational Fluid Dynamics) and FEM (Finite Element Method) modelling and simulations. This is the only methodology allowing simulations of fluid-structure interaction
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Apply and key information This project is funded by: North South Research Programme (NSRP), funded through the Shared Island Fund Summary Applications are invited by Ulster University for a PhD in
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, environmental science, building physics, energy engineering, mechanical/mechatronic engineering, or a related field. Skills required of the applicant: A strong interest in building performance, energy efficiency
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that they have lived in the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have