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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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spectrometry and programming skills. The position is very suitable for a Master's thesis. Furthermore, the working group plans to establish a PhD position in this field in the course of 2026. Although a
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diversity in this part of the University. Prospective candidates are encouraged to contact Prof. Loretta Vileikyte, MD, PhD, (Project Lead) l.vileikyte@lancaster.ac.uk for further information about the
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UKRI under Grant Reference EP/X026167/1. In this role, the successful candidate will collaborate with QSL’s team of researchers to design and implement variational quantum algorithms, resource estimation
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
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team, including a PhD (DPhil) student and an external collaborator, Prof Franck van Breugel (York University, Toronto). It is essential that successful candidate would hold a relevant PhD/DPhil or being
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Investigator, Stefan Kiefer, but also with other members of a team, including a PhD (DPhil) student and an external collaborator, Prof Franck van Breugel (York University, Toronto). It is essential
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work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream settings
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position will work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream