33 parallel-computing-numerical-methods-"https:" positions at UNIVERSITY OF MELBOURNE
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methods in mathematics / Collaborate across diverse disciplines. Apply now to join a world class School of Mathematics and Statistics and drive innovation in computational approaches. Investing in your
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Employee Assistance Program For more information check out our benefits page! Your new team - School of Mathematics and Statistics http://www.ms.unimelb.edu.au The University of Melbourne's School
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Employee Assistance Program For more information check out our benefits page! Your new team - School of Mathematics and Statistics http://www.ms.unimelb.edu.au The University of Melbourne's School
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spearhead method development at the exciting intersection of quantum computing and integrative omics. You'll have the opportunity to design, evaluate, and benchmark quantum-inspired computational approaches
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supervising postgraduate students. Have proven teaching excellence at undergraduate and postgraduate levels in econometrics and quantitative methods. Show a commitment to academic leadership and the ability
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2026 - 00:00 (UTC) Country Australia Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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website. Your next career opportunity As a Lecturer/Senior Lecturer in Statistics, you'll have the opportunity to develop a high-level research program in modern statistics with a focus on computational
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) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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(MIG), a University initiative focused on pioneering statistical methods for omics data. Your responsibilities will include: Conduct Innovative Research: Lead a research programme in statistical genomics
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values of diversity and integrity. You may be a great fit if: You are an experienced evolutionary-developmental biologist with a PhD in molecular biology, adept at computational and functional genomics