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23 Mar 2026 Job Information Organisation/Company PHAETHON Centre of Excellence Research Field Engineering » Mechanical engineering Engineering » Electrical engineering Computer science Mathematics
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, including: Advanced training in mixed methods research (qualitative, comparative, and structured data analysis) Experience with international fieldwork in the Netherlands and the UK A publication-oriented PhD
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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver
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Requirements and further details: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Physics, Data Analytics
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professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range
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professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range
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, obchode a službách. More information about PhD position: https://fem.uniag.sk/en/doctoral-study-information https://fem.uniag.sk/sk/doktorandske-studium Additional research info: renata.prokeinova@uniag.sk
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
1st May 2026 Languages English English English UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments Apply for this job See advertisement About the
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26.02.2026 Application deadline : 31.03.2026 The Environmental Biotechnology Group at the University of Tübingen is seeking three excellent PhD candidates (m/f/d, E13 TV-L, 65%) to join our