Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of London
- Durham University
- University of Liverpool
- King's College London
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Heriot Watt University
- Manchester Metropolitan University
- Nature Careers
- Aston University
- University of Nottingham
- Imperial College London
- Royal College of Art
- University of Birmingham
- University of Glasgow
- ; King's College London
- ; University of Cambridge
- ; University of Oxford
- Oxford Brookes University
- Swansea University
- ; Technical University of Denmark
- ; University of Exeter
- ; University of Southern Denmark
- Cardiff University
- University of Bath
- University of Lincoln
- University of Sheffield
- ; CRUK Scotland Institute
- ; Nanyang Technological University
- ; Queen Mary University of London
- ; Royal Holloway, University of London
- ; The University of Manchester
- ; University of Copenhagen
- ; University of Kent
- Birmingham City University
- City University London
- King’s College London (University of London)
- Lancaster University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- Nottingham Trent University
- Sheffield Hallam University
- St George's University of London
- University of Bristol
- University of Leicester
- University of Manchester
- University of Reading
- University of West London
- 43 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Chemistry
- Economics
- Mathematics
- Materials Science
- Humanities
- Linguistics
- Science
- Engineering
- Psychology
- Social Sciences
- Arts and Literature
- Law
- Earth Sciences
- Environment
- Physics
- Business
- Education
- Electrical Engineering
- Sports and Recreation
- Philosophy
- 13 more »
- « less
-
system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
-
of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous
-
work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
-
the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
-
work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
-
developing new optogenetic treatments for inherited retinal diseases. We are looking for highly qualified individual (PhD/DPhil) with outstanding academic credentials, who can work well under pressure and
-
impact. Academic Leadership The Fellow will work under the supervision of internationally recognised experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is
-
Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
-
-resistant TB (OxCoD4TB). This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and
-
data; organize and archive data, consent forms, and ethics paperwork in line with project and KCL policies; and deliver periodic presentations and written fieldwork reports to the Principal Investigator