348 parallel-computing-numerical-methods uni jobs at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Field
-
for the MSc and MPhil in Visual, Material and Museum Anthropology (VMMA) postgraduate degrees. The programme consists of a one-year MSc and a two-year MPhil degree that focus on theories and methods within
-
). About you You will have: A PhD or near to completion (or equivalent experience) in a numerically focused field Experience in applied statistics and data analysis Proficiency in R (or a similar statistical
-
across a spectrum of academic programmes in the department including the MSc in Applied Linguistics and Second Language Acquisition programme (MSc ALSLA), the MSc in Applied Linguistics for Language
-
Prof Yarin Gal. The postholder will work in the Department of Computer Science at the University of Oxford, based in the Wolfson Building, Parks Road, Oxford. The postholder is expected to conduct
-
of verification and validation of methods and equipment and assay performance monitoring is also essential. The post is available fixed-term until 31/07/2028. Applications for this vacancy are to be made online
-
A strong track record in financial management, strategic planning and resource allocation Educated to graduate level (or equivalent), with excellent analytical, numerical and IT skills Application
-
Organisation Studies. We are inviting applications from those with a background in Management Studies, broadly defined, who are committed to a programme of intellectually rigorous and relevant scholarship in
-
, and the wider MSc Taught Programmes Team. To be successful in this role, you will need to be highly organised, have previous administrative experience, and demonstrate strong computer skills. A positive
-
About the role We are seeking an Associate Professor of Climate Change and Child Health to join a dynamic cross-university program on climate change and child health and well-being led by Prof
-
applications. Applications are sought from across a diverse set of disciplines under the Information Engineering umbrella, including, for example, physics-informed machine learning and AI, computer vision