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of the hamstrings during push-off can enhance gait after stroke. This position builds on those findings: you will adapt an existing FES shorts system for stroke rehabilitation, test and optimize it with patients
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distribution systems. This PhD position aims to address some of these scientific challenges, including how to properly incorporate power systems physics into the foundation AI model architecture, as well as how
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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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selection procedure. For more information see https://www.tudelft.nl/onderwijs/opleidingen/phd/admission You enjoy performing research. You are independent, self-motivated and eager to learn. You are keen to
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activities, all generally but not exclusively related to your research topic. You are encouraged to visit the ESA website at https://www.esa.int/ Field(s) of activity/research for the traineeship The objective
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Hendriks and you will be co-supervised by Dr. Guido Bosch and Dr. Dennis Oonincx. Where to apply Website https://www.academictransfer.com/en/jobs/362090/phd-position-waste-valorisation… Requirements Specific
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functions—such as finance, legal affairs, business development, and policy to provide researchers with optimal support. What do we offer? You’ll be part of an enthusiastic and knowledgeable team that supports
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applications. This includes, but is not limited to, stochastic differential equations, stochastic partial differential equations, variational and geometric methods, probabilistic numeric, optimal transport, and