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Field
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Research Assistant contributes to Dr. Prisman’s research lab in head and neck reconstruction technology by researching and developing machine learning modules and other software tools to improve
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calibration systems. Participants will engage in hands-on activities involving optics, optical systems, remote sensing, laser physics, system diagnostics, and system integration (including control software
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-source software, scientific publications, and a PhD thesis. Your tasks within framework in detail: Conduct a literature review on modern techniques for combining models with observational data, with a
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work with new software - Relocation expenses package for certain roles - Reimbursement of Skilled Worker Visa application fees and Visa loan scheme for additional costs (if applicable to the role
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would not normally be approved but a software package specific to the project would be acceptable. Living expenses are not automatically approved, but may be accepted if a case can be made for them
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& Expertise The ideal candidate will have a strong technical background in one or more of the following areas: Essential Skills Strong knowledge of embedded systems, embedded electronics, and software
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. 4. System Prototyping & Software Development Contribute to the development of the AI Pathologist prototype, including UI/UX, backend integration, and workflow automation. Support deployment of models
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ground-truth synchronous patterns under varying conditions to enable systematic validation across relevant scenarios. All software arising from this work including improved analysis pipelines and
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for interpretation and validation of results Contribute to the integration of the developed methods into open-source software tools and data portals of the institute • Collaborate with internal and external, as
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enable systematic validation across relevant scenarios. All software arising from this work including improved analysis pipelines and benchmarking datasets will be released through an open-source library