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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
their PhD prior to commencing the role. The position can commence at any time during 2027, with the appointment being for a period of two years from the successful applicant's commencement date. About you
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methods and deep learning to enable scientific reasoning. Develop software prototypes for automated research workflows that integrate autonomous discovery pipelines with modern deep learning architectures
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criteria A PhD or equivalent in data science, social network analysis, mathematical modelling, statistics, or related discipline Demonstrated publication track record in data science, social network analysis
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the EU Research Framework Programme? Not funded by a EU programme Reference Number The Marie Skłodowska-Curie Actions Doctoral Networks MSCA DN Is the Job related to staff position within a Research
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to related research activities within the lab. Supervision of students in relevant topics. Job Requirements: PhD in Civil Engineering, Structural Engineering, Engineering Mechanics, Applied Mathematics, or a
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duration of 3 years. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £45,399 - £48,876 per annum. In addition to completing
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London weighting where appropriate. This includes a salary supplement of £3.5K pa, in recognition of the distinctive nature of these Fellowships. Payment of this supplement is conditional on a PhD thesis
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://dimag.ibs.re.kr/ Successful candidates for the research fellowship positions will be new or recent PhDs with outstanding research potential in all fields of Discrete Mathematics with emphasis on Structural Graph
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to verify the theoretical results. Job Requirements: Applicants should possess a PhD degree or have satisfied all the requirements for a PhD degree in Mathematics. Applicants should have deep knowledge in
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• PhD in Mathematics/Statistics/CS. Skills: • Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning. • Strong programming skill in Python