265 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Monash University in Australia
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and capabilities as the Graduate Business Services Officers. The Graduate Business Services Program is conducted over an 18-month period with graduates gaining experience through three key areas within
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program – it’s an opportunity to reinvent how students connect, engage, and succeed at University. What You’ll Be Doing: Own the transformation. Lead the business analysis activities in a cross-functional
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program assisted greatly in framing my perspectives of Singapore and region, identifying problems faced but also developing the leadership skills to craft solutions to them. There is also significant heft
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people who discover them The Opportunity As a Lecturer in the School of Educational Psychology and Counselling, you will contribute to teaching and supervision across programs in psychology, counselling
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health outcomes through our biomedical research programs, including cancer, cardiovascular disease, diabetes, neurological disorders, metabolic diseases, and reproductive health. This is a great
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. Our Student Management Systems Transformation (SMST) Program aims to enhance the student journey by implementing a new, modern core SMS platform. This platform will provide a consistent interface
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Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details This opportunity invites applications
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software is not on the blacklist" (without revealing the exact software). There are multiple aspects of this project. For all aspects, some cryptography background is required. Design and analysis of new
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research programme focused on the Impact of Human Futures on Australia’s Net Zero and Digital Transitions, funded by a Prestigious five-year Australian Research Council Laureate Fellowship awarded
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models (e.g. tumour progression, tumour-drug sensitivity, survivability) by integrating multiple and heterogeneous data with associative data mining and ensemble learning methods.