Sort by
Refine Your Search
-
future plans fit with the advertised position), CV and the details of two referees as part of your online application. For those candidates about to finish their PhD degrees, a lower grade offer may be
-
A postdoctoral research position is available in the area of computer modelling of new materials for next-generation photovoltaics within the group of Professor Saiful Islam in the Department
-
models when faced with data drift, bias, and fairness challenges. The research will involve developing deep learning and synthetic data generation approaches and applying them to exemplar studies in
-
simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling for geotechnical
-
turbomachinery for improved efficiency and compactness. This position would suit a researcher with a strong background in Computational Fluid Dynamics (CFD) and an interest in Chemistry modelling and Machine
-
-representative models of brain tumours that recapitulate how tumours behave in vivo, how they respond to treatments, and in their inter- and intratumoral heterogeneity, which we can titrate to more closely mirror
-
, and present detailed research proposals to senior researchers as well as analyse and interpret data, and contribute ideas for new research projects. In this position you will engage with the CoRE
-
collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
-
We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting-edge deep generative probabilistic models
-
to differentiate between healthy and accelerated brain aging; ii) create multiphysical constitutive models of cortical tissues degeneration during aging and injury; iii) utilize longitudinal medical image data