649 parallel-programming "Institute for Basic Science" positions 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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, experience and relationships within science. The scholarship has taken me around the world, from Tasmania, to Malaysia, to Costa Rica to study sea turtles. I am deeply grateful for the support I received
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Nutrition Science Scholars Scholarship Sir John Monash Scholarship for Achievement The Nutrition Science Scholars Scholarship has been introduced to recognise the excellence of our students who will
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Medical Science Honours Scholarship Achieving Potential Scholarship for Distinction This scholarship is to support disadvantaged medical students to be able to intermit medicine to undertake the
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increase in data volume, it is necessary to adopt parallelism techniques to achieve reasonable query response time. The main focus will be on parallel query processing, which is the main driver for Big Data
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increase in data volume, it is necessary to adopt parallelism techniques to achieve reasonable query response time. The main focus will be on parallel query processing, which is the main driver for Big Data
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Stark and Geals Science Scholarship Achieving Potential Support Scholarship Allan and Pam (nee Geals) Stark graduated from Monash University during its first decade of student intakes. They believe
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Primary supervisor David Dowe Co-supervisors Dr Hieu Nim (Murdoch Children's Research Institute) Prof Mirana Ramialison (Murdoch Children's Research Institute) Research area Data Science and
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. Required knowledge Relevant bibliography: - Chades, I., Carwardine, J., Martin, T., Nicol, S., Sabbadin, R., & Buffet, O. (2012). MOMDPs: a solution for modelling adaptive management problems. In
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. Required knowledge Relevant bibliography: - Chades, I., Carwardine, J., Martin, T., Nicol, S., Sabbadin, R., & Buffet, O. (2012). MOMDPs: a solution for modelling adaptive management problems. In