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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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supervisors and fellow researchers, you will contribute to the development of solvers for combinatorial optimization problems and apply them to real-world data from industrial partners. As part of your PhD, you
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Reference: SATM591 Eligibility: UK, EU, and international applicants How to apply For further information please contact: Name: Professor Mark Jolly Email: m.r.jolly@cranfield.ac.uk Phone: +44-(0)1234 758466
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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photonics’, led by Assoc. Prof. Thomas Christensen, who moved from MIT to DTU in 2023. Funded by a Villum Young Investigator program (link ), the project aims to uncover novel kinds of photonic topology using
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At present, it is not possible to measure sweating over an extended period of time through a wearable system. Moreover, it is not yet clearly understood how sweating is linked to emotional responses
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information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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Strong organizational and communication skills Experience with Linked Open data and open data standards is an asset Fluency in English and French. German is a bonus We offer Multilingual and international
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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's