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describing the changes in blood due to pre-analytical errors, and build mathematical models to describe these changes. This work can have real clinical and commercial impact, potentially resulting in digital
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understand its fundamental causes has been limited to animal models and trials. There are over 27 animal models for neuropathic pain where pain has been induced by macroscopic & microscopic nerve lesions
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Measuring Uncertainty and Risk with Agentic AI for Decision-Oriented Modelling Apply for this job See
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the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year
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phase forms. We will investigate which organic solute is best at preventing third phase formation. Finally, we will develop new molecular thermodynamic models to describe third phase formation. These will
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This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will...
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About the project: Turning Up the Heat: Modelling and Scale-Up of Thermochemical Energy Storage Supervisor: Dr Ferran Brosa Planella, University of Warwick Heating accounts for nearly half of global
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About the project: Multi-scale modelling of Thin Film Deposition with Flowable CVD for Next-gen Semiconductors Supervisor: Dr Bora Karasulu, University of Warwick This project, co-funded by Merck
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and