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Field
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algorithms and accompanying documentation to augment autonomous vehicle behaviors. - Produces efficient code subject to computational resources to function in real-time systems. - Tests and deploys programs
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intelligence is preferred in candidates applying for this position. Responsibilities Design, develop, test, and debug complex software programs. Implement and optimize algorithms (ML + AI) for data-intensive
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, Algorithmic Foundations of Optimization, Data Mining, Machine/Artificial Intelligence A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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limited to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation
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to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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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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on Geospatial Analytics in Geomatics, including – but not limited to – advanced Artificial Intelligence/Machine Learning (AI/ML) techniques and scaleable application architectures and algorithms for geospatial
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to thrive in a highly cross-functional environment. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and