205 parallel-and-distributed-computing positions at University of Cambridge in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
-
-on role – you know how things work. Comfortable with basic paperwork to keep things organised. Good with computers (Word, Excel, Outlook) and willing to learn new things (like how our security alarms work
-
one million years. Perform end-to-end genomic data processing, including quality control, assembly, annotation, and downstream bioinformatics analyses. Develop and apply statistical and computational
-
), to start a research career in an environment committed to training outstanding cancer research scientists of the future. The Institute's particular strengths are in genomics, computational biology and
-
Fixed-term: The funds for this post are available for 5 years in the first instance. We seek a senior post-doctoral researcher with extensive research experience to lead and manage a programme in
-
machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
-
Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
-
Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier project was selected for funding by the European Research Council...
-
in Brain Injury (HRC) Fellowship Programme, which has been designed to support the research needs across its 5 themes: prevention & education, acute care & monitoring, restoration & rehabilitation
-
hypotheses and drive discovery. On the applied side, we welcome researchers interested in applying novel and existing computational tools to biological datasets, with a particular focus on patient