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(or equivalent) in a biomedical science. Experience in neuroscience and/or immunology is desirable. Project key words Retinal imaging, data-analytics, computer vision, big data Funding The studentship, funded by
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/bioinformatics/ ). Qualifications Applicants should have a master’s degree in Artificial Intelligence, with proven ability to train and utilise large models for HLA data analysis. Applicants are invited to contact
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animal clinicians, including effort allocation and other faculty affairs. Collaborate with Section Heads to convey large animal needs at hospital leadership meetings, facilitate information flow to faculty
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assist the project leader in the research project - “Personalized privacy-preserving prompt service for large generative AI models”. Qualifications Applicants should have an honours degree or an equivalent
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operationalizing large-scale, credit-bearing career courses that are compulsory for undergraduate students, as well as implementing other impactful career development workshops. Working closely with faculty
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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Development of magnetism-based future electronics is fueled by demand for large memory capacity and high data processing rates. New technologies such as hard drives with bit-patterned media and magnetic memory
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health, and basic science projects. The Data Specialist I will work closely with Dr. Daniel Riggs, and a team of researchers to oversee and maintain several large datasets, including cleaning and scoring
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science with bioinformatic component. Experience working with high performance computing (HPC) with large data sets is essential. Experience with pipelines for genomic sequence analysis from raw reads. Relevant
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Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have