Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Materials Science
- Science
- Mathematics
- Chemistry
- Environment
- Earth Sciences
- Business
- Electrical Engineering
- Social Sciences
- Psychology
- Humanities
- Linguistics
- Arts and Literature
- Law
- Philosophy
- Education
- Physics
- Sports and Recreation
- 13 more »
- « less
-
Are you an engineering scientist who wishes to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking
-
to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We are seeking one to two PhD students
-
, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within agricultural landscapes influence wildlife movement and landscape connectivity
-
be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
-
the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models, and hardware platforms
-
-for-time field survey approach to (i) assess the effects of lake oligotrophication and changing winter conditions on benthic biofilm communities across different lake habitats; (ii) evaluate
-
investigate the wildlife connectivity potential of tree-based agricultural systems, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within
-
and apply them in clinical studies across different disease areas to generate novel biological insights. As part of the network-wide training programme, you will collaborate with leading international
-
study which will cover a range of VH and VHM loading combinations and uplift scenarios. Using the validated numerical model, model the impact of different climate scenarios on VHM and tensile behaviour
-
theoretical frameworks to shed light on how the accumulation and utilization of different types of skills is shaped by and can facilitate the adaptation to some of the most pressing challenges faced by