536 computer-science-intern "https:" "https:" "https:" "https:" "U.S" uni jobs at Monash University
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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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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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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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humanitarian visa holder An International student You must meet the following criteria: A commencing student intending to enrol in the Bachelor of Nutrition Science-Scholars Program (M2001) single degree in
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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
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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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faculty/academic unit, these scholarships support both domestic and international students undertaking Research Doctorate and Research Masters degrees at a Monash campus in Australia. Applications Four
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural
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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