Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
in a quantitative subject (e.g. Bioinformatics, Biostatistics, Bioinformatics, Computational Biology, Epidemiology, Health Data Science or similar).* Expertise in processing large genomic datasets
-
and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
-
the combined themes of human-computer interaction and critical computing. The lab will be exploring the notion of "deceptive by design" on all fronts: social identity cues in the design of LLM-based chatbots
-
research infrastructure service for processing data, and supporting the scientific exploitation of observational data, obtained with the world's largest radio telescope running on a Kubernetes (K8s). In
-
responsible for the design and implementation of the administrative systems and processes to ensure successful delivery of these diverse activities, working closely with a key Africa-based implementation
-
bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
-
bioinformatics. The Department's research strengths currently lie in behaviour and neuroscience, conservation science, ecology and all aspects of evolutionary biology. How to apply for sponsorship Please address
-
computational biologists and data scientists, collaborating with colleagues across CG-TIC in processing and analysing complex and varied datasets. You will work under the guidance of Prof. Eoin McKinney
-
for small-RNA sequencing Bioinformatics analysis of small RNA sequencing data Preparing EVs for in-vitro labelling and uptake experiments High-content imaging of cellular morphology and immunochemistry
-
-molecule manipulation of different signalling pathways; CRISPR/Cas9-mediated gene targeting in 1-cell embryos), bioinformatic analysis of single-cell transcriptomic datasets and gene-expression studies using