275 parallel-programming-"Multiple"-"Simons-Foundation" positions at Monash University in Australia
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Monash University Indonesia Scholarship We are very pleased to offer a range of scholarships for our programs at Monash University, Indonesia. If you are a domestic Indonesian student who has a
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with Turning Point's helpline service, students on the Next Generation of Graduates in AI in Mental Health program will have the opportunity to enhance the capabilities of these helplines using data
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Services (MRS). The work is based 100% on site and involves undertaking relevant projects, events, campaigns, leadership development programs and online initiatives as measures to build a strong residential
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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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home. This has allowed me to dedicate more time to my studies as well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only
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successful candidate you will coordinate comprehensive admissions activities for undergraduate and postgraduate programs while serving as the primary liaison for University and College staff on policies and
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seeking a leading researcher to advance a program in Applied Clinical Data Science, Machine Learning and AI. This role offers the chance to lead high-impact projects, mentor emerging researchers, and
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advancing the Biomedical Engineering program outcomes through complex research activities, including providing training in mammalian cell culture, bacteria culture, flow cytometry and microscopy, as
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advisory boards, government committees and multi-university consortia Demonstrated ability to identify and secure new funding and program grants, ensuring financial sustainability and scaling initiatives
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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.