Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Medical Sciences
- Biology
- Economics
- Engineering
- Science
- Materials Science
- Chemistry
- Mathematics
- Linguistics
- Psychology
- Electrical Engineering
- Sports and Recreation
- Arts and Literature
- Business
- Earth Sciences
- Philosophy
- Education
- Environment
- Humanities
- Law
- Social Sciences
- 12 more »
- « less
-
PhD Scholarship - Developing a Community-Led Approach to Mental Wellbeing in Wigan Department Graduate School Location Ormskirk Salary - Please see "Details of funding" section for information Post
-
an original programme of research working with ecologists Dr Fay Voller , Dr Ashley Lyons and Dr Anne Oxbrough in collaboration with Dr Steven Ewing at the RSPB Centre for Conservation Science . This PhD is
-
Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email address Dr. Ping Lu: p.lu@leeds.ac.uk
-
Are you passionate about cognitive computational neuroscience and eager to contribute to cutting-edge research in perception? We invite applications for a fully funded PhD studentship supported by
-
or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
-
for Conservation Science . This PhD is part of the Cumbria Connect project , which is funded by the Endangered Landscapes and Seascapes Programme . Cumbria Connect aims to restore 33,000 ha of the English upland
-
at the RSPB Centre for Conservation Science . This PhD is part of the Cumbria Connect project , which is funded by the Endangered Landscapes and Seascapes Programme . Cumbria Connect aims to restore 33,000 ha
-
the frameworks. • Elucidation of the effects of coupled confinement of multiple catalytic centers. Requirements • Master's degree in Chemistry or Materials Science. • Experience in organic/metal–organic
-
you enjoy working on interdisciplinary research that bridges energy modelling with climate science, hydrology, risk analysis, and integrated assessment? Join us as a PhD candidate. Your job The rapid
-
entrants without historical data for their land use technology differently compared to those with established practices? This interdisciplinary project offers the chance to contribute to multiple fields