Sort by
Refine Your Search
-
particularly wide skills training, including experimental and computational work. Applicants should thus have a first (or upper second) class degree in chemistry, biochemistry or a related, relevant subject
-
, relevant subject. Familiarity with molecular and chemical biology techniques and specific skills in assay development, enzyme kinetics, DNA library generation, structural biology, organic synthesis, high
-
levels of Cu, Mo, Ni & Sn. Direct comparisons will be made with experimentally identified phases from high throughput samples. Subsequent characterisation will be performed using a combination of scanning
-
ADC performance against acute myeloid leukaemia (AML). Laboratory experiments and machine learning models will be implemented to achieve the following aims: Develop a random forest regression model
-
using techniques that range from low cost equipment that could be acquired in an assay office, specialised testing at a university lab medium cost, to high cost ultra-high resolution national facility
-
increasing pressure to reduce its carbon footprint while ensuring long-term performance of infrastructure, particularly in environments that accelerate material degradation. This PhD aims to develop and
-
samples that include crystallographic texture and the monitoring of phase transformation in-situ during heat treatments. Applicants should have (or expect to be awarded) a good UK Masters degree (or
-
The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
-
, and simulations across physics, chemistry, and engineering. Applicants should have, or be expected to gain, a high (1st or 2:1) honours degree in Physics or Chemistry. Fixed-term: The funds
-
lines and collect high-throughout measurements of corresponding mRNA and protein levels for several protein targets. Ultimately, you will use these data to develop Matchmaker, a machine learning framework