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Field
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lot of interests and investments these days. Active perception of a surrounding environment through AI relies heavily on the design of architectures and their extensive training to generate compact
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environment. Electric aircraft and chargers, like many other electronic systems, are based on switching power electronics. In addition to intended fundamental tones, this generates a considerable amount of
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system modelling framework (utilising SysML) that effectively represents human-machine teaming in uncertain environments. This research will employ a systematic approach to refine the representation
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concern, especially in unexplored environments characterized by uncertainty. These PhD positions offer an unparalleled opportunity to advance real-time trustworthy autonomous systems. Collaboration with
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Foundation PhD studentship within the Cardiovascular Research Group at the University of Surrey. We are internationally recognised for our work on cardiac diseases and offer state-of-the-art facilities and
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Faculty of Environment EPSRC Project Proposals 24-25 Eligibility: UK applicants only Funding A full-time PhD scholarship in the School of Earth and Environment for a UK candidate, covering a
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PhD student in Environmental Science, the Chemical exposome and links to Health effects in pet animals Stockholm Ref. No. SU FV-2061-24 You can find the complete announcement on this link: https://su.varbi.com/en/what:job/jobID:734035/ You apply for the position at the same link. Stockholm...
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» OtherEducation LevelMaster Degree or equivalent Skills/Qualifications The successful applicant must have the following: Fun working in a research environment Some practical experiences in cell culture(!) and
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skills, memory and the built environment, with a specific focus on the interplay between rhythms in the built environment and the brain. The educational background of the candidate must include
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and Tenured Associate Professor Kristjan Tabri (TalTech) Abstract In this position, PhD candidate is expected to develop sea/ocean environment perception, navigation methods for future autonomous