10 sensor-algorithm-"Prof" Fellowship research jobs at The University of Queensland in Australia
Sort by
Refine Your Search
-
frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
-
for this appointment. Questions? For more information about this opportunity, please contact Prof Andrew Whittaker a.whittaker@uq.edu.au For application inquiries, please reach out to the Talent Acquisition team
-
of photonic single protein sensors to observe, control and understand protein behaviour, advancing knowledge at the interface of quantum science and the life sciences. As a Level B Research Fellow, you will
-
of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
-
this new technology useful in basic science, health & rehabilitation, and sport performance. The overarching goal is to design and test a smart garment embedded with these sensors, for advancement
-
, please contact Prof Andrew Whittaker a.whittaker@uq.edu.au For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in
-
programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
-
contact Prof Esteban Marcellin – e.marcellin@uq.edu.au For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in the subject
-
funding. Some experience in meaningful internal service roles and contributions towards external activities Experience in multimodal data collection and analysis (e.g. physiological sensors) The successful
-
on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work