66 programming-"https:"-"https:"-"https:"-"Duke-University" uni jobs at Monash University
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Primary supervisor Pierre Le Bodic Research area Optimisation Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP
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Primary supervisor Pierre Le Bodic Research area Optimisation Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP
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continue this work and to hopefully publish an academic paper in an international conference. You will need excellent programming skills and a good background in maths. This project would set you up for a
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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against
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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against
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Tenured/permanent Melbourne, Australia Apply Monash University School of Mathematics 9 Rainforest Walk Clayton 3800 Melbourne Australia The address could not be found. Join Monash University's School
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Tenured/permanent Melbourne, Australia Apply Monash University School of Mathematics 9 Rainforest Walk Clayton Campus 3800 Melbourne Australia The address could not be found. Join the School of
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. Applications must be submitted via the online portal <b>https</b>://careers.pageuppeople.com/513/cw/en/job/698867/lecturer-in-applied-mathematics-mathematical-physics Enquiries: Confidential enquiries can be sent to [email protected] Applications Close: Sunday 22 November 2026, 11:55pm...
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body. #digitalhealth Required knowledge This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from
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body. #digitalhealth Required knowledge This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from