Sort by
Refine Your Search
-
our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
-
One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
-
at the Hitachi Cambridge Laboratory as well as Dr Ljiljana Fruk's team in the BioNano Group at Chemical Engineering and Biotechnology. Improved enzymes will be combined with nanoparticle catalysts and novel
-
Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages
-
involve the development of new data, techniques, and evaluations. The successful candidate will also take part in dissemination of research findings. The student will work as part of the interdisciplinary
-
of the structure and use of routinely collected cancer data. In this role, the postholder will act as a liaison between the National Disease Registration Service and the Departments of Public Health
-
must either have a PhD in a relevant biological subject or have submitted or about to submit their PhD thesis. Candidates must also have demonstrable expertise in biochemistry, cell biology and/or
-
. Programming hardware control and user interfaces for data capture, and automation to enable these techniques. Writing and publishing journal papers on experimental findings. Playing an active role in the day-to
-
genomes. Dr Karam Teixeira's group uses Drosophila as a model to study transposable element biology, epigenetic regulation and inheritance, small RNA-based defence mechanisms, and germline biology in
-
part of the Green Algorithms Initiative in the Department of Public Health and Primary Care, one of Europe's leading academic departments of population health sciences. The post will suit researchers