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addresses the need for data-driven and hybrid modeling approaches that combine physics-based knowledge with artificial intelligence (AI) algorithms for accurate, interpretable, and robust health state
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(e.g., Python, C++, Java) and Data Science, including designing algorithms; Experience with the challenges of designing and rapid-prototyping robotic systems; Strong academic credentials, including
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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at scientific conferences and by writing scientific articles and a PhD thesis; attending PhD courses as part of the graduate education program. Where to apply Website https://www.academictransfer.com/en/jobs
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as of the 01.04.2026 at the following conditions: 50% = 19,92 hours Pay grade 13 TV-L limited by 31.03.2029 Your tasks: Development of architectures and algorithms for adaptation of time-triggered
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communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html
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The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission . Please submit your application, with all your application documents to Professor Luca Mora (Luca.Mora
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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-Doctoral Research Fellowships to hold a PhD degree obtained in the 3 years previously to the submission of the fellowship application; to have carried out the research work that led to the PhD degree in a
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Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 2 Mar 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 2