518 computer-science-intern "https:" "https:" "https:" "https:" "DESY" uni jobs at Monash University
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of Physics and Astronomy. This is a rare opportunity to establish and grow a world-class research program at the heart of Monash’s growing research in nanoscience and technology. We are especially keen to
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Program. You will play a key role in developing and supporting interventions, collaborating with internal and external stakeholders, and supporting high-quality publications and competitive funding
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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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goals. Am I eligible? You must meet the following criteria: be currently enrolled in a research masters or doctoral program as an internal/on-campus student at one of Monash University’s Australian
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resident Australian humanitarian visa holder You must meet the following criteria: A student commencing a Mathematical Sciences Honours Program in the Faculty of Science at a Monash campus in Australia. Must
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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, please refer to 'How to apply for Monash Jobs '. Please address the following questions in your cover letter: How has your research program contributed to your discipline at a national or international
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Zealand citizen Australian permanent resident Australian humanitarian visa holder An International student You must meet the following criteria: Enrolled in the Bachelor of Paramedicine (Honours) M3707 in
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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process natural language problem descriptions and translate them into executable code. This research seeks to streamline workflows across diverse domains, from software engineering to data engineering