Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
with 120 academics and 70 postdoctoral research staff. There are around 1371undergraduate and postgraduate students and 233 PhD students. These are supported by an administrative and technical staff team
-
Technology Laboratory (DSTL), Electromagnetic Environment (EME) Hub. About You Applicants should have a PhD in modelling hypothetical scenarios, with and without data, for structured decision-making under
-
About the Role The School of Electronic Engineering and Computer Science (EECS) is seeking a new Lecturer in Electronic Engineering to support our long-standing Joint Programme (JP)/Joint Education
-
About the Role As a Teaching Fellow on the Digital and Technology Solutions degree apprenticeship programme at Queen Mary University of London, you will contribute to the intellectual life
-
to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
-
the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
-
the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
-
and development of the research programme. The successful candidate will undertake the research investigations under the supervision of the Principal Investigators and in collaboration with other
-
should hold a PhD in psychology or a closely related discipline. They must have outstanding quantitative skills, including extensive experience in the design of psychological experiments, and in data
-
postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as