Sort by
Refine Your Search
-
Employer
-
Field
-
, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
-
, this project will Investigate current DES(s) on “controlled” mixed battery chemistries; specifically NMC:LFP ratios. It will also develop an extraction process to optimally recover metals from NMC:LFP black mass
-
entitled “Eggsurance? A randomized controlled trial of a decision aid for elective egg freezing ”. 2023 - Alexandra Roddy Mitchell & Dr Arun Sett Alexandra Roddy Mitchell was awarded for the 2023 paper
-
This project aims to advance the field of human movement science by addressing the challenges encountered when developing a low-cost, automated system for screening the movement of pre-elite student
-
the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in
-
future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
-
theoretical colleagues. All research takes place within our dynamic particle physics research group with academics and postdocs, as well as graduate and undergraduate students. Some work will be purely
-
known as Team COMPAS -- includes a number of amazing undergraduate and graduate students, postdocs, alumni, and other fantastic collaborators. Please contact me if you are interested in joining our group
-
of scholarships: One Contact person: Mario Fruzangohar (mario.fruzangohar@adelaide.edu.au ) Project 3: Developing data-informed mathematical models for locust hopper band movement to improve control measures
-
augmentations such as project energy connect, Humelink, Marinus Link ETC Lack of available accurate generator and reinforcement models Protection and emergency control scheme modelling challenges. The research