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Department of Animal Biosciences Technology Description of the doctoral project: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological
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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
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theoretical and computational physics. They will be co-supervised by V. Caps and G. Manfredi. They will benefit from close supervision, facilitated by the geographical proximity of the two research units
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026/CP/077 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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experience or knowledge in one or more of the following areas are also a merit: Space physics Plasma physics Computational physics Applied mathematics and modelling Numerical methods for partial differential
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ
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. Approaches researched: molecular dynamics, quantum simulations, machine learning/AI, and high-throughput computing. Required: Mgr./MSc. in chemistry, physics, computer science, or a related field If you are
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in Process Industries; Net Zero (PINZ’) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory
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remains a challenge in practice, due to factors such as poor scalability, lack of automation, the interplay between computation and physical aspects, or the increasing complexity of the software and its
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the EU Research Framework Programme? European Union / Next Generation EU Reference Number 176356 Is the Job related to staff position within a Research Infrastructure? No Offer Description Article writing