9 electric-machine-"https:"-"https:"-"https:" Postdoctoral positions at University of Sydney
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frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in
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University of Sydney | 2 months ago
experimental procedures and analysis of data contribute to novel data analysis and/or instrument control code, leveraging advances in machine learning and real-time control fabricate robust instrumentation
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design and optimization of fuel-cell-based electric vertical take-off and landing uncrewed aerial systems for medical deliveries. Reporting to ARC Future Fellow and Professor Dries Verstraete, as
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using Python, ASE and relevant DFT software analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and
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degradation and bioreactor performance. apply machine learning and optimisation to guide experiments and improve fungal process performance. design and undertake laboratory experiments with biological and
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programming, with experience in AI, machine learning or data-driven materials research highly desirable · a strong publication record, excellent communication skills, and the ability to work
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who demonstrate the following will be highly regarded: experience working with spatial omics or spatially resolved data in tissue experience applying AI or machine learning methods to digital pathology
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, machine learning or other relevant fields experience working with marine robotic systems or the data they collect, including inertial, acoustic, visual and magnetometer data field experience deploying
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control code, leveraging advances in machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class observatories perform lead