Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
experimental effort, including superconducting qubit measurements, development of a cryogenic cosmic-ray detector, dilution refrigerator operation, and nanofabrication of radiation-resilient qubit designs, with
-
to develop and trial innovative prevention, early intervention and treatment programs for substance use and mental disorders. This is an exciting opportunity for a skilled researcher with an interest in
-
the WA node, the PSIC is responsible for discovering, developing, and delivering plant synthetic biology componentry, technologies, datasets, and high throughput testing capabilities. PSIC’s activities
-
discovery programs. Your key responsibilities will be to: design and execute wet‑lab experiments supporting neurological therapeutic development perform molecular biology and cloning, including construction
-
) publication of book chapters/ peer-reviewed journal articles, producing conference/ seminar papers either independently or as part of a team (within the University or externally) develop research collaborations
-
of data governance and ethics. The role includes interpreting and communicating research findings, leading and contributing to peer-reviewed publications, supporting grant development, and assisting with
-
you and your family discounted access to hundreds of gyms, pools and fitness facilities. Career development opportunities, including access to leadership and professional learning programs. Discounts
-
Macquarie University in Sydney, Australia. You will be working with A/Prof Benjamin Pope and A/Prof Christian Schwab on a full-time, fixed term period for 3 years. This role will develop and apply new data
-
internationally recognised for its excellence Publish high-quality research in peer-reviewed and other scholarly contexts Develop and deliver innovative research-led teaching and learning Lead or contribute
-
MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
years. This role will develop and apply new machine-learning based approaches for extremely precise radial velocity studies and exoplanet spectroscopy with the NEID, HPF, and MARVEL facilities, and pursue