Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
Supervisors: Dr. Nicholas Bell Bell Lab Website Dr. Kabir Husain Husain Lab Website Abstract: Antimicrobial resistance (AMR) is exacerbated by persistent, sub-lethal levels of antibiotics in
-
highly trained scientists. This interdisciplinary PhD will make eDNA analyses easier and quicker to implement by developing a sustainable, paper-based Lab-on-a-Chip (LOC) device that is simple to use and
-
microelectronics: In this project, you would develop advanced low-power mixed-signal (analog + digital) circuitry on CMOS chips which will drive our custom implants Bionic Vision implantable probes: In this project
-
are shortened too far the DNA unravels, cells can no longer divide, and die. Cancer uses a complex of proteins called telomerase to add telomeres to the end of DNA, giving tumours immortality. This project aims
-
with other changing environmental conditions. Lab experiments will move from association to mechanism. Methanotrophs will be enriched and isolated from lake water and sediment. Co-cultures will test
-
highlands. Projects in both biodiversity hotspots can influence decisions around long-term management, future reintroductions, and wider rewilding efforts. Observational data gathered in the lab and/or field
-
. Prostate cancer is the second most common cancer in men worldwide and ~397,000 men die every year, with double the incidence in Black men compared to Caucasian men. From studies of urine and the prostate, we
-
The Ecologies of Learning Lab, led by Sheina Lew-Levy at the University of Durham (UK), is advertising three (3) funded PhD studentships for the European Research Council funded project “Children
-
pioneer in applying digital engineering to traditional rail maintenance. Gain hands-on experience in a top-tier lab with state-of-the-art equipment. Contribute to a more sustainable, safer, and more
-
chip architectures, including neuromorphic and domain-specific accelerators (e.g., TPUs, NPUs, FPGAs), for low-power and real-time AI processing. 2- Reconfigurable AI-Embedded Systems: Develop adaptive