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Field
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
. 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 for rapid and
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-like operation in GaN Devices. Silicon devices have both nMOS and pMOS to realize power efficient and seamless analog and digital signal conditioning, but is limited to a narrow operation temperature
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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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., which may be delivered in other digital formats. Regarding the documents mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate the unique digital identifier
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different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing
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universities, one research center and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal
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between radiative, climatic, and morphological processes. The DITEN laboratory of UniGe brings complementary expertise in signal processing, remote sensing, pattern recognition, and energy systems
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engineering (or a closely related field), with a solid foundation in mathematics (e.g., matrix algebra) and coursework in areas such as digital signal processing, sound processing, and machine learning
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apply.uc.pt, to submit their application, selecting the procedure to which they intend to apply. The documents inserted in the application are exclusively in digital portable document format (pdf), with
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results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two