25 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" Fellowship positions at The University of Southampton
Sort by
Refine Your Search
-
estimation technologies (AET) from facial images. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies
-
contact Dr. Chaitanya Paruchuri at c.c.paruchuri@soton.ac.uk As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and
-
with collaboration with Ansys under the supervision of the award holder (Dr. Susmita Naskar). For further detail on this vacancy please contact Dr Susmita Naskar (S.Naskar@soton.ac.uk ) To apply
-
centres for aeroacoustics research. The successful candidate will join a dynamic and collaborative research environment supported by state‑of‑the‑art laboratories, high‑performance computing facilities and
-
We are seeking a highly motivated and talented post-doctoral researcher to join our research programme in metasurfaces. The position is funded by the three-year Leverhulme Trust Research Project
-
agreement). For informal enquiries please contact Dr. William King W.L.King@soton.ac.uk We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity
-
on the progression of the project up to 3 years. The candidate will undertake research with collaboration with Ansys under the supervision of the award holder (Dr. Susmita Naskar). For further detail on this vacancy
-
Institute for Health and Care Excellence (NICE ) and the National Institute for Health and Care Research (NIHR ). We also have an active and growing programme of other research, including research on research
-
for national security and defence. The ‘AiTASHA’ project (AI Intelligence Triage & Acquisition Support for Human-centred Analysis) aims to improve the speed and confidence of intelligence analysts’ assessments
-
programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer