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PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance on Industrial Scale PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance
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PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems Published Deadline
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investigate practical results. Specifications max. 38 hours per week Eindhoven View on Google Maps Eindhoven University of Technology (TU/e) Requirements MSc degree in Engineering Sciences or Applied Physics
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) Requirements MSc degree in Engineering Sciences or Applied Physics, preferably involving fluid flow and acoustics. Experience with numerical modelling and measurements. Fluent in spoken and written English (C1
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—€3539 per month Delft View on Google Maps Delft University of Technology (TU Delft) Requirements Master's degree in Earth sciences, physics, applied mathematics, engineering, computer science or related
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robotics. The research will include the development of design tools that improve the understanding of the physics and embodied intelligence that govern the behavior of soft robots and allow users
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in optical systems. However, current design methods that include scattering use a slow iterative process. In this project we will develop fast direct design methods for 3D optical systems with
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habitat conditions. Your duties and responsibilities include: perform fish monitoring and telemetry in collaboration with students, perform habitat assessments, and rigorously collect, store and process
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PhD student for the project: PhD student for the project: Published Deadline Location today 7 Apr Groningen Job description In the UMCG Center for Rehabilitation, adults and children with physical
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to come up with the required innovations in the field of safety (i.e., digital and physical safety) and how you support a context for continuous learning and innovation. You will design a training to prepare