805 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
archaeology. We are seeking an energetic and organised Event Assistant to support the delivery of a busy programme of commercial, internal and public engagement events within this unique venue. You will support
-
. From diagnosing IT issues and provisioning workstations to supporting international conferences and lectures, you will play a key role in keeping the department running smoothly. You will be a confident
-
. The post holder will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and
-
. This is post is responsible for working with these groups, provide advice and frameworks for delivering laboratory activity to a suitable regulatory standard, and internally auditing them to ensure
-
to appoint a client Project Manager to lead internally, liaising with the Capital Projects team, coordinating requirements, and bringing together stakeholders. Working with colleagues, Estates Services
-
and informative guided tours to an international audience whilst proactively promoting and selling the Bodleian’s range of public offers. You will provide excellent customer service, respond
-
national and international forums, including acting as the institutional lead for pension matters and supporting the HR Director in engaging with the recognised trade unions to promote constructive staff
-
The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and
-
Contract & job type: Fixed-term for 3 years, full-time About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes
-
our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational