Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
-
detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
-
, University of London is undertaking a major Project to replace its Student Record System (SRS) and transform the operating model for Student Study Services. The SRS underpins the entire student journey, from
-
). This global project aims to assess the behavioural and social drivers of vaccine uptake and to identify both supply- and demand-side barriers to immunisation. The post-holder will contribute to modelling
-
applications. Significant experience in robot design, modelling and control is required, as well as familiarity with advanced sensing and mobile manipulation. The successful candidate will also closely work with
-
to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human
-
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
-
of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
-
and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
-
informing not only potential human work but also work performed in other veterinary species. The successful candidate will have a strong background in ex vivo tissue models and/or 3D culture systems and will