156 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at Monash University
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
prototype A prototype that can support secure code review by producing patch trust scores and review recommendations. Required knowledge Essential Python programming, Machine learning fundamentals, Deep
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Manager will provide expert advice on accreditation requirements and their impact on curriculum, assessment, professional experience and program delivery. The role will drive continuous improvement
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, histology, Biomedical Science, postgraduate programs and medical education. At Level D, you will provide recognised disciplinary leadership and distinction; at Level C, you will make a major contribution to
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Master of Commerce Scholarship Sir John Monash Fee Scholarship The Master of Commerce is a research-oriented programme preparing students for a PhD and an academic career. Offered as part of
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Scholars Program or Bachelor of Pharmacy (Honours)/Master of Pharmacy Scholars Program. No application is necessary. You will be automatically assessed when you make your course application through VTAC
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, collaborating with academics and staff Transform ideas into impact by enabling research initiatives and programs The Opportunity The Medicine, Nursing and Health Sciences (MNHS) Faculty Office is seeking
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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness
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Monash Leaders Scholarships Monash Leaders Scholarships are awarded to applicants that demonstrate leadership and commitment to give back to the community through the Access Monash Mentoring program
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Asahi Study Grant Monash Travel Support Grant The Asahi Study Grant is a $6000 travel scholarship created to support students in the University’s Japanese Studies Program to attend a study tour to
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evaluation will be conducted to assess the performance of these models, identifying their strengths and areas for improvement. Required knowledge Python programming Machine learning background