583 parallel-computing-numerical-methods positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Economics
- Business
- Psychology
- Engineering
- Materials Science
- Mathematics
- Chemistry
- Humanities
- Education
- Social Sciences
- Science
- Law
- Linguistics
- Arts and Literature
- Earth Sciences
- Design
- Electrical Engineering
- Environment
- Physics
- Sports and Recreation
- 13 more »
- « less
-
used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
-
(for example BTEC ND, NVQ Level 3 or equivalent) and/or significant work experience at a similar level, is also essential. You will have demonstrated experience showing ability to be numerate and accurate, with
-
social, cultural, and sports clubs. About the Role The Data Quality Team is responsible for monitoring the quality of the student record, programme set-up, system data configuration, and compiling and
-
Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
-
the University of Oxford, the postholder will conduct scientific research that refines existing methods, sheds light on the impacts of climate change in understudied regions, and informs adaptation and legal
-
. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
-
) position on the project Aggregating Safety Preferences for AI Systems: A Social Choice Approach, funded by ARIA under the Safeguarded AI TA1.4 call. The project explores novel aggregation methods
-
explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
-
Ertegun Graduate Scholarship Programme in the Humanities The Mica and Ahmet Ertegun Graduate Scholarship Programme funds full-time graduate degrees in various subjects within the Humanities
-
be expected to teach quantitative methods courses. The Departmental Lecturer will contribute to teaching and examining in comparative and European politics, in addition to quantitative methods