182 parallel-and-distributed-computing-phd Postdoctoral positions at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
-
), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
-
leading experts worldwide. Aarhus – a vibrant university city by the sea, combining rich cultural life with easy access to nature. Qualifications PhD in mathematics (completed or expected before start date
-
dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics
-
Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key
-
have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
-
annum inclusive of Oxford University weighting Potential to under fill at grade 06RS: £34,982-£40,855 per annum inclusive of Oxford University weighting The Department of Computer Science seeks to employ
-
will be required due to regulated activity involving children and ‘at risk’ adults. The successful candidate will hold, or have submitted a relevant PhD/DPhil (or equivalent) in a relevant discipline
-
on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You
-
. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently