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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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no more than five years of post-qualification experience at the time of application. Applicants are invited to contact Prof. Kam K.H. Ng at telephone number 3400 8232 or via email at kam.kh.ng
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qualification and must have no more than five years of post-qualification experience at the time of application. Applicants are invited to contact Prof. Siyang Zhong at telephone number 3400 8486 or via email at
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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to cancer treatment delays. The successful candidate will join 50 researchers on 10 National Cancer Audits https://www.natcan.org.uk/ . The postholder will report to Prof Ajay Aggarwal (co-PI, TACTIC and
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or an equivalent qualification. Applicants are invited to contact Prof. A. Ping Zhang at telephone number 3400 3336 or via email at azhang@polyu.edu.hk for further information. Conditions of Service For full-time
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Prof. Rob Morris (Professor of Physics and Maths) at rob.morris@ntu.ac.uk or Dr. Gareth Cave (Principal Lecturer in Chemistry) at gareth.cave@ntu.ac.uk.
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additional skills are not required, but may help. Department Contact for Questions Questions regarding the position or application process can be directed to: Prof. Alexandru B. Georgescu, Department
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is for a Research Fellow to work part-time (0.6 FTE) until 31/03/2026 with Dr Aylin Ates, Prof Jill MacBryde, Prof Colin Lindsay and Dr Robert Stewart on high impact and research-focused project called