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Field
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real-time AI algorithms, data infrastructure management, surgical robotics, and human factors. Work collaboratively with clinical teams at multiple institutions to demonstrate the operation and
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the Pennsylvania Game Commission. The technologist will play a critical role in the early development of a machine learning algorithm that will identify tree species in mixed oak-hardwood forests from aerial
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accurate and timely follow-up with staff, patients and families. Process accurate and timely admissions as requested. Patient placement in accordance with placement guidelines, fill algorithms and in
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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challenges, encompassing both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilise computational
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Immunobiology research. Develop software, creating query routines, and building relational databases. Possess advanced knowledge of algorithms used to solve problems based on biological information and data using
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projects involving methods development, novel algorithm development and/or in-depth data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional
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of Naval Architecture & Marine Engineering (NA&ME) invites applicants for the position of Research Area Specialist Senior. The successful candidate will spearhead efforts to use and develop state-of-the-art
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” framework introduces evaluation checkpoints throughout the development lifecycle and after deployment to ensure that transparency, quality, and ownership are maintained for all algorithmic solutions. ABCDS
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of navigation systems Algorithmic development Independently lead specific tasks within project scope Required skills/knowledge include: Strong written, oral, and interpersonal communication skills Experience