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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
. This position is a fixed term appointment for a period of 2 years. Research Fellow – Electrocatalysis for Hydrogen Production Material Scientist or Chemical/Electrical Engineer - Catalysis Open to PhDs in
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technologies for humans. Researchers in MARCS come from many disciplines including cognitive science, developmental psychology, language science, music science, cognitive neuroscience, and biomedical, electrical
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, with a focus on elucidating interfacial components and reaction mechanisms at the fundamental level. Potential to lead a research program in fundamental and/or applied areas addressing current battery
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charge of the experimental part. The two teams will collaborate closely, and the candidate is expected to integrate their modelling work within the experimental tasks. For more information on the research
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to quality teaching at undergraduate and postgraduate levels. Desirable: Demonstrated technical knowledge of principles and applications of distributed fibre optic sensing technology. Experience in designing
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-Chancellor's Research Fellowships Program Each year, RMIT brings on the world’s best and brightest researchers and teams to undertake transdisciplinary applied research that creates positive impact for society
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to the Research Program Lead, Child and Youth Cancer and Palliative Care and the CPC research teams The Research Fellow will conduct and contribute to the current suite of research projects, whilst systematically
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at Curtin University. The Research Fellows will lead studies suited to their specific skill set. This may include studies aimed at a) enhancing measurement technologies, b) children utilising technology to
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-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