Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
-
the decision analytic modelling field research field and contribute to high quality reports for funding bodies and peer-reviewed outputs. You will hold a DPhil/PhD in health economics or a related quantitative
-
more broadly in the NDPCHS’s portfolio of health economics research and teaching activities. You should have (or be close to completing) a DPhil/PhD in health economics or one of its cognate disciplines
-
briefs, presentations, and policy outputs Liaising with research partners (e.g., BRAC, GiveDirectly, J-PAL) This post is ideal for candidates considering a PhD or a policy career in development economics
-
considered of Assistant or Associate Professor rank. Therefore, the School welcomes applications from early career candidates (i.e., scholars who have recently completed or will very soon complete their PhD
-
relevant PhD/DPhil in immunology or cell biology (or near completion) together with proven evidence for ability to independently lead and complete impactful research projects that address fundamental
-
inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
-
for the provision of research support for the ARC project on risk assessment tools in psychiatry, and particularly in child and adolescent psychiatry. About You You will have or be close to completing a PhD/DPhil in
-
information and advice on best-practice methodologies in machine learning/deep learning. It is essential that you hold a PhD/DPhil (or close to completion) in a relevant quantitative field (e.g. biostatistics
-
group : here About you Applicants must hold a PhD Inorganic Materials Chemistry or a related area (or be close to completion), prior to taking up the appointment. The research requires experience in