32 computer-science-programming-languages-"the"-"IDAEA-CSIC"-"Prof" positions at University of Oxford
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
midwives, nurses, patient and public contributors, as well as NHS sites who are providing data for the programme. As a Medical Statistician you will contribute to a wide range of tasks across the project
-
Theology Philosophy, Politics and Economics Psychology, Philosophy and Linguistics Computer Science and Philosophy Maths and Philosophy Physics and Philosophy You will be responsible for providing exemplary
-
Inclusion Strategic Plan, our commitment to equality and diversity goes hand in hand with our commitment to academic freedom and free speech. The University of Oxford and The School of Geography and the
-
contribute to a programme exploring how experimentation and innovation unfold in public services, using immersive qualitative research methods such as fieldwork, interviews, and facilitated learning sessions
-
proficient in the use of programming languages, for example R or Python, and have excellent communication skills, including the ability to write for publications, create figures reflecting data analyses
-
computational genomics to understand mechanisms underlying rare human disease with a goal to enhance both diagnosis and treatment. We have a highly collaborative, open-science approach. As part of CRDG, you will
-
South, the successful candidate will draw on existing datasets and behavioural science frameworks to create a large language model (LLM)-powered tool that supports key behaviour change techniques central
-
collaboration with the Head of Copyright and Licensing, a comprehensive copyright literacy programme at the Bodleian Libraries and throughout the University of Oxford. You will be required to: Respond
-
at least two of the following programming languages: C++, C#, Python, Shell, Java. • Detailed understanding of the use of animal models to elucidate the circuit basis of behaviour
-
conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R