14 computational-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at University of New South Wales
Sort by
Refine Your Search
-
their best work. The School of Chemistry is internationally recognised for its excellence in research and teaching. Our mission is to nurture students to become leaders who will generate societal, economic
-
Apply now Job no:533507 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity The School of Photovoltaic and Renewable Energy Engineering (SPREE) has
-
their best work. The School of Chemistry teaches more than 2000 undergraduate students each year from many different faculties and offers four different undergraduate programs leading to majors in chemistry
-
Apply now Job no:534636 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity The School of Photovoltaic and Renewable Energy Engineering (SPREE) has
-
their best work. The School of Psychology at UNSW is the leading Psychology school in Australia. It is located in the Faculty of Science and is recognised nationally and internationally for its excellence in
-
Apply now Job no:534592 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity The School of Chemical Engineering at UNSW has an opportunity for a
-
origami synthesis and characterisation. Previous experience with non-academic and industry projects is desirable. Demonstrated expertise in supramolecular chemistry, computational modelling, and/or
-
their best work. The School of Psychology at UNSW is the leading Psychology school in Australia. It is located in the Faculty of Science and is recognised nationally and internationally for its excellence in
-
. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
-
-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing