Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis
-
of innovative machine learning methods. The Senior Research Associate will drive the direction of research within this broad area and collaborate with others in the ARC Centre of Excellence for Weather of
-
University of New South Wales | Canberra, Australian Capital Territory | Australia | about 11 hours ago
, e.g., simulation-optimization and simulation-machine learning will be an advantage. Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire
-
University of New South Wales | Canberra, Australian Capital Territory | Australia | about 10 hours ago
favourable learning outcomes and enhance employability. Who You Are: Our ideal candidate will have: A PhD in the discipline of systems science or systems engineering to the design, architecting and analysis
-
, workflow managers (e.g. NextFlow, SnakeMake, etc), statistical analysis and data visualization. Familiarity with data science and machine learning. Familiarity with cellular and molecular biology, such as
-
/photovoltaic-and-renewable-energy-engineering/our-research/research-activities/characterisation-defects-machine-learning Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical
-
developments in scientific machine learning, which blends data-driven learning and physics-based modelling. The whole project will make a significant contribution to uncertainty quantification, and should
-
Communications, e.g., beamforming, transceiver design Semantic/goal-oriented communications Machine learning-based ISAC New waveforms and multiple access schemes, e.g., NOMA, OTFS, etc. THz communications and/or
-
knowledge of transport planning, transport modelling, active transport, and/or travel behaviour study. Experience with machine learning, spatial analysis, and/or software engineering would be a plus
-
community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work