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School of Electrical Engineering and Computer Science Part-time (40%), fixed-term position through to April 2027 Base salary will be in the range $82,057.75 - $109,246.18+ 17% Superannuation
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quantitative analysis using gas and liquid chromatography-mass spectrometry instruments, conduct research on screening and non-targeted identification of PFAS with high resolution mass spectrometry instruments
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Specification PhD (or near to completion) in high energy particle physics Experience with operation and use of Roman pot-based near-beam spectrometers Experience with analysis of data from Roman pot-based near
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opportunity to organize conferences, seminars, reading groups, workshops, and other related research activities; (ii) play a central role in the daily operation of the upcoming new Taught Postgraduate programme
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candidate will be at the forefront of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
undergraduate, honours, and graduate students, and assist with research student supervision. The Postdoctoral Fellow will contribute to School operations and maintain high academic standards, ensure workplace
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Researcher (R1) Country Singapore Application Deadline 18 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. Please upload additional documents to the “other documents” tab as needed. Skills and Knowledge: Experience with molecular simulations and high performance computing demonstrated by several peer-reviewed
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computational cluster and/or high-performance computer with Linux OS. Excellent oral and written communication skills and a collaborative working mindset. Strong publication record in closely related research
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team