56 parallel-processing-bioinformatics-"Prof" PhD positions at University of Groningen
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Prof. Michele Cucuzzella, and the candidate will be embedded at the Engineering Technology Institute of the University of Groningen (ENTEG). ENTEG research is highly multidisciplinary in nature and
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features of policy “co-creation” processes that promote citizen engagement, and some existing research has also focused on how (socio-economic or demographic) properties of individual citizens affect
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. As traditional microscopy approaches are not suited to follow these minute, dynamic processes, the PhD students will use advanced microscopy and nanomanipulation techniques to record the live
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, addressing issues that are essential to understand processes of communication in an increasingly mediatized society. Where to apply Website https://www.academictransfer.com/en/jobs/354428/phd-position-tracing
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related field. - A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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/final project) who we may contact for references. No letters of recommendation are needed for the application process. You may apply for this position until 25 September 11:59pm / before 26 September 2025
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relationships, shape our thought processes, and, importantly, guide our behaviors. This PhD project focuses on evidence-informed educational innovation. Using a solid theoretical foundation for CLMA, it will test
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artificial intelligence, computational cognitive science, human-computer interaction, computer science, information systems, or another relevant field. - A keen interest in pursuing interdisciplinary research
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international staff, addressing issues that are essential to understand processes of communication in an increasingly mediatized society. A Research Master’s (ReMa) or Master’s degree with a research component
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related field. A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added