Sort by
Refine Your Search
-
Listed
-
Field
-
for listening and reading. Experience in working with human participants, strong technical skills, and experience with data and statistical analysis. Experience in neurostimulation (e.g. transcranial magnetic
-
, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and
-
Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
-
statistical competence in quantitative methods. They will have a demonstrated ability to work independently and to appropriately manage sensitive and confidential information. Responsibilities may include
-
possible shift (temporal and spatial) in rainfall patterns across the MLR (climate change/water) Explore various River Murray hydrological, hydraulic modelling questions (River Murray/water) Review economic