176 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sydney
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to ensure that they support students, staff and the community with access to quality services and resources that enhance the learning, teaching and research experience. This role will collaborate with
-
to teaching and learning and engage in educational leadership within their School/ Faculty. This is a continuing 40% (teaching), 40% (research), and 20% (service) position, and offers an opportunity to develop
-
Sciences (SOLES) is currently seeking an experienced Associate Professor in Soil Science (Education Focused) to coordinate and/or teach into a range of undergraduate and postgraduate units focussed on soil
-
. The teaching hospitals provide clinical learning experience for veterinary students and staff engaged in professional training programs through provision of veterinary services to the public. The internship is
-
engage in high-quality teaching and learning experiences which meet the University’s expectations and standards for education design and deliver quality educational units of study and experiences
-
collaborate with other staff to coordinate and develop curricula and programs within the School ensuring outstanding teaching and learning outcomes coordinate and engage in a high-quality teaching and learning
-
management and organisational skills, including secretariat skills such as diary management and expenditure management and control computer proficiency across the Microsoft Office Suite, with experience using
-
or school. About you Completed PhD in a relevant field. Demonstrated ability to communicate effectively and deliver engaging presentations supported by strong computer literacy skills. Proven customer service
-
control, industrial chemical engineering and WHS compliance or other relevant practical engineering skills (electronics, additive manufacturing, machining, CAD) (desirable). Sponsorship / work rights for
-
intelligent machines, recognised for its pioneering research and real-world impact across industry and government. Appointed at an appropriate senior academic level (Professor, Associate Professor, or Professor