Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
-
monitoring approaches (e.g., machine learning, real-time sensing). Sponsorship / work rights forAustralia You must have unrestricted work rights in Australia for the duration of this employment to be eligible
-
. Knowledge on computer programming and web development tools Evidence of publications in reputed refereed journals and presenting at conferences. Some experience in meaningful internal service roles and
-
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
-
MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science, using Jax, PyTorch, and/or
-
developing network of academic, industry and professional partners, supported by strong computer literacy and a commitment to responsive, professional service. Sponsorship / work rights for Australia You must
-
collection and management for research, as well as basic knowledge of both quantitative and qualitative data analysis principles. Demonstrate high levels of computer literacy, including proficiency in learning
-
collection and management for research, as well as basic knowledge of both quantitative and qualitative data analysis principles. Demonstrate high levels of computer literacy, including proficiency in learning
-
seeking applicants with experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science
-
stakeholders strong research capability, planning and organisational skills demonstrated ability to communicate effectively and deliver presentations strong computer literacy. Sponsorship / work rights for