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. Develop motion-planning, task-planning, perception, control, and feedback algorithms for operation in complex laboratory environments. Integrate robotic manipulators with cameras, force/torque sensors
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candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable cancer care in
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transport and transport-related protein maturation. Studying the spatial distribution of proteins provides valuable information about proteome homeostasis, but it is technically very challenging due
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will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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possible, positive and productive with advanced technology including AI, Quantum, Advanced Connectivity Technologies, IoT, Immersive and distributed ledger technologies. The UK has invested through the
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, build, and analyze digital & computational tools and algorithms, while also developing the ability to critique those same tools and algorithms. Bates DCS faculty are prepared to support candidates as they
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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to algorithmic innovation, approximation, and scalable computing in high-dimensional and data-rich applications. Potential application areas include engineering or physical problems, problems with distributed
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autonomous logistics, casualty evacuation (MedEvac), counter-UAS, EOD/demining, and distributed ISR (Intelligence, Surveillance, Reconnaissance). The AGV will operate in GNSS-denied and electronically