21 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" research jobs at University of Sydney
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
Accelerator: https://www.snowmedical.org.au/vision-accelerator The successful candidate will join the Sivyer Laboratory, led by Assoc. Prof. Benjamin Sivyer, which focuses on understanding physiological and
-
, enabled by agentic and embodied AI. Working under the supervision of Dr Neda Mohammadi , the successful candidate will contribute to the development of new concepts, methods, and scalable systems
-
, experimental methods, and simulation techniques, as well as access to state-of-the-art experimental facilities. Supervisors: A/Prof Pierre Rognon, Prof David Airey, Dr Benjy Marks Institution: SciGEM, School
-
-funded program “Optimising Care for Older Adults in Hospital: Innovative Education & Consumer Voices in Junior Doctor Education”. The successful candidate will join the research team led by Dr Janani
-
Associate in all algorithmic areas of Theoretical Computer Science. In this role you will work closely with Drs Wirth, Mestre and Canonne on algorithmic research projects, and contribute to the collegial
-
. The position is funded by an ARC Discovery Project on mitigating the effects of ionising radiation in superconducting quantum computers, in collaboration with Dr Xanthe Croot 's Superconducting Quantum Circuits
-
of breakthrough fundamental science and industrial electrification, working jointly with the HJ Jiang Group (led by Dr. Haihui Joy Jiang; www.hjj-group.com ) and the MMY Group (led by Prof. Thomas Maschmeyer, Prof
-
Institute and will be led by Dr Chandrima Sengupta. You will benefit from a strong mentoring environment; lead and be part of high impact research. You will be based at South Eveleigh (formerly the Australian
-
of relevant training and experience, experience conducting literature searches, running code, and managing both numeric and sequence data in a research-intensive environment, experience with at least one data
-
Assistant to support Dr Rebecca Raeside and the Youth Well Lab team researching the use digital technology to support the health and well-being of adolescents (10–24 years). We aim to prevent chronic