598 application-programming-android-"Prof" positions at Monash University in Australia
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Average Mark of 50 each semester. How to apply For current Monash students apply directly to Monash . This scholarship cannot be deferred. Every scholarship may have a different application process – or
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Awarded based on need. How to apply Current Monash students apply directly to Monash . This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read
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. Scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details
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theories (SMT) and their optimisation extensions (MaxSAT and MaxSMT) as well as constraint programming and optimisation (CP) and mixed-integer linear programming (MILP) can be seen as success stories in
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Monash students, apply directly to Monash . This scholarship cannot be deferred Every scholarship may have a different application process – or none at all. Read the application details carefully and
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scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our scholarships application
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty
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intelligent techniques for scheduling and offloading tasks to the cloud and peer vehicles. This will ultimately meet the Quality of Service (QoS) requirements of time-critical road safety applications and
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to explore and solve pressing energy problems. You will work collaboratively with the energy sector, enabling you to establish an industry presence and develop leadership networks. Applications close 31 May
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tasks across the colony very effectively and flexibly without any central master plan, which at least partly explains their enormous ecological success. We investigate how self-organised task allocation