Sort by
Refine Your Search
-
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
-
diverse and dynamic research team working across aerospace, automotive, energy, defence, and biomedical sectors. The groups expertise includes alloy design, microstructure-property relationships, phase
-
research team working across aerospace, automotive, energy, defence, and biomedical sectors. The group's expertise includes alloy design, microstructure-property relationships, phase transformations, and
-
research team working across aerospace, automotive, energy, defence, and biomedical sectors. The group's expertise includes alloy design, microstructure-property relationships, phase transformations, and
-
and dynamic research team working across aerospace, automotive, energy, defence, and biomedical sectors. The groups expertise includes alloy design, microstructure-property relationships, phase
-
biostatistics. We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. The BSU current research portfolio is organised into five main
-
protein expression for biomedical applications. Project details: Protein expression and purification remain fundamental bottlenecks in biomedical research and drug discovery. Current approaches are time
-
processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
-
transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
-
: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship