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knowledge with data-driven methods. Physical knowledge includes, among others, kinematics and the dynamics of the robot, terrain interaction and contact models, and environmental physics, such as wind. The
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wildfire simulations to design and assess scenarios for risk mitigation. For Active-Frie problem domain, we seek candidates with strong background in analytical and computational methods related to physics
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Entitlement: 33 days annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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quantification of microplastics in stormwater and urban sediments. - Integrate the results into the development of a method for estimating microplastic loads discharged to rivers at the territorial scale
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enables the application of phase contrast methods with a spatial resolution below 50 nm. Join the Cluster of Excellence "BlueMat: Water-Driven Materials" (www.tuhh.de/bluemat ) and contribute to one
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, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians
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or in-person; however, appointments are typically 12 months. For a list of potential host facilities, please visit https://orise.orau.gov/marine-energy-research-program/applicants/host-facilities.html
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quite new within the field of computer vision. The neuromorphic design allows for a much higher acquisition frequency but most and foremost much longer acquisition time spans. This makes it ideal
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real-time, predictive control frameworks for ankle exoskeletons that regulate calf muscle-tendon forces during human locomotion. A central goal is the short-term (millisecond-scale) estimation and
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Months Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https