308 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Monash University in Australia
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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and questionnaires and manage data collection and analysis. It will also ensure REDCap data integrity, prepare protocol-aligned results and support reporting, manuscripts, presentations and related
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The proliferation of misinformation and disinformation on online platforms has become a critical societal issue. The rapid spread of false information poses significant threats to public discourse
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weighted sum of the risks from tens to millions of independent disease-associated SNPs from across the genome. The conventional, or gold-standard, approach to analysis of GWAS data is to fit a regression
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and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be
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increasingly rely on digital systems to issue, store, and verify qualifications, new risks arise—ranging from data breaches and identity fraud to profiling and surveillance through credential verification logs
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data Reporting and Research Program (CORRP). Based at 553 St Kilda Road, this role contributes to a Commonwealth Government funded national clinical quality registry that monitors outcomes of procedures
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support, evidence reviews, data collection and research communication activities. Key Responsibilities As a Research Assistant, you will: Conduct research activities under limited supervision as part of a
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Health Clinical School is inviting you to join us as a Research Nurse to coordinate clinical trials, ensuring top-quality data and optimal participant care. Your role includes recruitment management
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Estimation for Robust Single- and Multi-View Learning in CV and NLP Robust Active Learning Under Distribution Drift Data-Efficient Deep Learning for De Novo Molecular Design from Analytical Spectra Hybrid