64 informatics-phd positions at University of Oxford

Postdoctoral Research Assistant in Machine Learning, Bioinformatics and Genome Editing

editing strategies and to select disease variants. Applicants should hold a relevant PhD (or be close to completion - thesis submitted at time of application) in Computational Biology, Bioinformatics

Teaching Laboratory Technician

will be expected to have a PhD in Computer Science, Mathematics and/or Engineering; and/or relevant research experience. You will possess a strong experience in Computing in general, especially around

Departmental Lecturer in Human Geography

to hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject. It is essential that you have experience in the analysis of single-cell RNA-seq

Analyst in Bioinformatics and Immune Single-Cell Genomics

plan new projects that contribute to the overall aims of the project. You will devise novel approaches for data analysis, develop informatics structures to manage large datasets, and contribute to code

Research Associate the BELINDYSYS Project

also through attendance to conferences, student supervision and supporting applications for personal fellowships, as appropriate. You will hold a PhD in Computer Science, Mathematics or related

Research Associate on project Fun2Model

objectives. You should hold a PhD (or be close to completion) in computer science, mathematics or related discipline, possess sufficient specialist knowledge across some/all areas of: symbolic/neuro-symbolic

Senior Research Associate in Foundational AI Safety

supervision for DPhil students and research assistants, as well as support of grant applications and ongoing grant progress reporting. The essential selection criteria are holding a PhD/DPhil in Computer Science

Software/Data Engineer

linkage purposes to better characterise health outcomes and their sub-types. To be considered, you must hold (or close to completion of) a PhD in computer science, mathematics, software engineering or

Research Associate in Foundational AI Safety

are holding a PhD/DPhil in Computer Science or related discipline, demonstrated experience in Foundation Models (generative AI) as well as Bayesian machine learning, ML security, or general deep learning, a

Post-Doctoral Research Associate in Machine Learning/Machine Learning Scientist

within the team and lead grant applications on related topics. The suitable candidate must hold a minimum of a PhD, or be nearing completion of a PhD, or an equivalent qualification in computer science