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Field
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will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
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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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the ability to work on multiple projects concurrently and meet deadlines. Self-motivated with a track record (or potential) of functioning as an independent developer. Strong organizational, collaboration, and
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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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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
at all levels—developing new materials, designing creative and interactive technologies, engineering future hardware platforms like quantum computers, and writing the algorithms that power machine learning
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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
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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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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport