Sort by
Refine Your Search
-
both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
-
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
-
) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
-
to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
-
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
-
for an International Doctoral Scholar award. Phase discrimination using resonant ultrasound spectroscopy The microstructures of steel are sensitive to small variations in composition and the conditions experienced
-
for complex data accessible to the scientific community and to produce innovative methodology related to trial designs, longitudinal and event history data, precision medicine, causal inference, AI/machine
-
. Nat Commun. 2021 Mar 30;12(1):1979 https://pubmed.ncbi.nlm.nih.gov/33785741/ A quantitative mass spectrometry-based approach to monitor the dynamics of endogenous chromatin-associated protein complexes
-
the mechanical performance, durability, and sustainability of both commercially available and novel cements in concrete embedded in a range of aggressive ground conditions. These are contexts in which durability
-
to undertake a PhD. Please also state how you learned of the studentship. For queries regarding the studentship, please contact Jo at BalasubramanianRecruitment@ch.cam.ac.uk . Interviews will