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for a highly motivated and self-driven PhD student with strong intellectual curiosity and interest in computational mechanics, data-driven design, and sustainable engineering. You will become an integral
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omics data (e.g.. RNA-seq or ChIP-Seq); Experience with general molecular biology tools (e.g. cloning or genotyping); Experience with data analysis using R; Demonstrated analytical and problem-solving
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9 Apr 2026 Job Information Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2
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for the position. Your tasks This PhD position is part of the ErUM-Data project CmarT, which aims to develop a novel multi-scale imaging approach at synchrotron radiation facilities, particularly PETRA III at DESY
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, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one or more PhD stipends/Integrated PhD stipends in representation
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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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interfacial chemistry on the atomic-scale is as yet unresolved, owing to the lack of sufficiently suitable analytical capabilities. In this project, the PhD candidate (m/f/x) will employ atom probe tomography
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to expertise and data. JOB QUALIFICATIONS For the PhD candidate : Master’s degree in Economics, Management, Business engineering, Econometrics, Energy Economics; Master’s degree in Sciences, Engineering if
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://www.academictransfer.com/en/jobs/360045/phd-in-photonic-pigments-from-c… Requirements Specific Requirements You are a motivated and curious researcher with strong analytical and problem-solving skills. You enjoy working in
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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills