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structure data to test existing algorithms and design improved methodologies for clinical applications. Purpose The Research Engineering Scientist Assistant will support research in AI for healthcare and drug
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Sciences Laboratory (SISL). Responsibilities Conduct analysis, modeling, software and algorithm development in various disciplines such as underwater acoustics, ocean propagation modeling and SONAR
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health care environment. Familiarity with data security and privacy best practices, and knowledge of additional enterprise systems and platforms such as Epic and Kodiak. HL7 Certification Epic Bridges
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analysis, modeling, software and algorithm development in various disciplines such as underwater acoustics, signal processing and target strength modeling. Prototype scientific algorithms for proof
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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(e.g., Cerner, Epic OpTime, or other surgery scheduling modules). Experience coordinating with hospital departments such as anesthesia, operating rooms, and medical device teams for surgical procedures
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networked and sonar systems including algorithm design, implementation, verification, and performance assessment in the Advanced Technology Laboratory (ATL) . Responsibilities Design and develop high
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cell applications and onboarding new single cell technologies. In addition, performing spatial transcriptomic projects using the 10X CytAssist and Xemium platform. Occasionally running Illumina EPIC
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with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop
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algorithms, web applications, cybersecurity, and topics related to artificial intelligence, computer systems, and UI/UX. We have opportunities to teach classes dedicated to CS majors as well as classes