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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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: The R2L Lab explores how language understanding improves machine learning efficiency and generalization. We are a leader in agentic benchmarks and evaluation; our platforms serve as primary evaluation
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Research Assistant 2 position is based in Prof. Prof. Songrui Zhao’s research lab in the department of Electrical and Computer Engineering. Position Summary Under the supervision of the Research Supervisor
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• Ability to work independently and as a member of a team • Excellent English verbal and written skills • Proficiency in operating a computer with various Microsoft Office applications and
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equipment. Demonstrated knowledge of Hospital and Radiology Information Systems. Demonstrated knowledge of PACS i.e. digital imaging, image archiving and retrieval. Demonstrated computer skills including
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biological or psychological science preferred. Previous experience in experimental psychology laboratories, including running populations of subjects. Computer experience (MS Office, Adobe Suite, SPSS
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communication skills Strong ability to learn quickly and function proactively and independently Ability to demonstrate meticulous attention to detail, initiative, and problem solving Computer literacy, including
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of researchers focused on advancing the understanding of lung diseases, including COPD, asthma, and cystic fibrosis. The team uses advanced technologies such as CT and MRI, along with machine learning, to reveal
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required; maintain and renew biosafety and chemical safety protocols; Update computer hardware and software, and liase with AD Instruments Contact person for receiving all supplies required for the labs
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computer literacy required (i.e. MSWord, Excel, Access). Ability to work with minimal supervision.