622 computational-physics-"https:"-"https:"-"https:"-"UCL" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Arts and Literature
- Law
- Science
- Materials Science
- Education
- Linguistics
- Biology
- Mathematics
- Humanities
- Design
- Environment
- Philosophy
- Sports and Recreation
- Chemistry
- Earth Sciences
- Electrical Engineering
- Psychology
- Social Sciences
- 13 more »
- « less
-
with generous top-up scholarships. We're looking for talented students with a background in mathematics, computer science, statistics, economics, engineering or other related fields. These positions
-
, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments
-
their potential at Monash University. The scholarship program amplifies diversity in STEM through empowering scholarship recipients to achieve academic success. Total scholarship value $6000 Number offered 10 See
-
comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
-
College London. I graduated in Applied Physics from Caltech, and have held academic positions at the University of Bath, Imperial College London, and the University of Munich. In March 2022 I joined Monash
-
Future Fund–supported program (2026–2030) to reduce addiction, self-harm, and mental ill health. The project integrates 20 years of binational cohort and cross-sectional data with administrative datasets
-
Diabetes can be effectively controlled by maintaining a healthy diet, well-managed blood glucose level and regular physical activity. Evidence suggests that improving dietary habits can play a
-
the power of LLMs to develop advanced computational methods for the detection and mitigation of misinformation and disinformation. More specific objectives are: To investigate the effectiveness of large
-
'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE
-
, delivery, governance and reporting. A key focus of this role is serving as Program Manager for the MRFF-funded CALIPSO trial, while also contributing to the coordination and expansion of other national and