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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project aims to develop a
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innovative industrial partner in the Brainport region? Then, this PhD position is made for you! Information Complex dynamical systems, such as semiconductor equipment, consists of many interconnected modules
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Will you advance the state-of-art in 6G communication networks? Optical wireless links using highly directional steerable laser beams can securely serve a high density of devices at high data rates
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from you. Apply and launch your research career with us! Join our team! Molecular Photonics group at the Van 't Hoff Institute for Molecular Sciences invites applicants for PhD position in ultrafast
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🔭 Are you passionate about astronomy and cutting-edge research? Join our dynamic team and explore the universe through multiple PhD positions now open! Work on a range of exciting research topics
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We seek you as a PhD candidate to investigate enabling CMOS-like operation in GaN Devices. Silicon devices have both nMOS and pMOS to realize power efficient and seamless analog and digital signal
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fully-funded, four-year PhD position focused on accelerating mission-oriented innovation while balancing innovation speed and societal outcomes. Information You will study how governments can accelerate
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
to anticipate and manage. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies
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, this PhD will explore machine-learning (ML) methods to significantly reduce the turnaround time of SRS, thus enabling their use for industrial design processes. By combining state-of-the-art numerical
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climate resilient policies! Job description This 4-year fully funded PhD position is part of the ERC Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX). The SPHINX