180 phd-rehabilitation-engineering-computer-science Postdoctoral positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Field
-
We are seeking a motivated and Talented experimentalist for a full-time Research Assistant in Quantum Thermodynamics within Professor Ares’ research group at the Department of Engineering Science
-
projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
-
and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
-
independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, statistics, physics, engineering, data science or a related discipline, and have
-
choice theory, or computational modelling. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor
-
induced by radiotherapy. You will employ a broad range of experimental approaches, including cell line engineering, transcriptional reporter assays, flow cytometry, qRT-PCR, ELISA, and CRISPR-based genetic
-
until 30 March 2026, and may be extended subject to the availability and renewal of external funding. With a background in materials science, materials processing or related engineering or physical
-
with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
-
radiation technology. Prior experience on spin-resolved ARPES or previous experience in setting up and maintain the operation of ARPES spectrometers will be an advantage. Candidates are expected
-
use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use