Sort by
Refine Your Search
-
Listed
-
Field
- Computer Science
- Engineering
- Materials Science
- Economics
- Biology
- Medical Sciences
- Chemistry
- Mathematics
- Psychology
- Arts and Literature
- Electrical Engineering
- Business
- Linguistics
- Physics
- Humanities
- Education
- Law
- Philosophy
- Science
- Earth Sciences
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
-destructive and in-situ method to measure soil moisture, density, and elemental composition. This project aims to develop advanced sensors for neutron and gamma ray sensing, tailored for agricultural
-
Improving Deep Reinforcement Learning through Interactive Human Feedback
-
and GTC/HiPERCAM and NTT/ULTRACAM high-speed photometric data for a large number of magnetic white dwarf binaries. You will be responsible for developing new methods for analysing these objects, with
-
computer program that will compute the cohomology of arithmetic groups for GL(2) over a definite rational quaternion algebras together with Hecke action. The second objective is to use this program to carry out
-
for future therapeutic strategies. You will be trained in a diverse range of advanced techniques alongside conventional molecular biology and biochemistry methods. This includes the use of iPSC-derived
-
confidentiality. Why does this matter now? Wearable devices have made round-the-clock health data commonplace, cloud computing places vast processing power at our fingertips, and patients are demanding care
-
predominantly qualitative; therefore you should have studied qualitative research methods at master’s level, and be familiar with qualitative interviewing and qualitative coding of interview data. References
-
of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
-
and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The field of environmental data analysis has seen
-
cultures. You will have the opportunity to: Conduct research on cell/tissue biomechanics and edible proteins. Develop and use cell culture methods and fluorescent microscopy. Develop analytical skills