29 signal-processing-engineering PhD positions at University of Groningen in Netherlands
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Engineering, University of Groningen. The research is aimed at the development of novel methods for nanomedicine characterization and to study their interaction with cells (e.g. uptake, intracellular
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and networks worldwide to become a truly global centre of knowledge. This 4-year PhD position is embedded in the Artificial Intelligence department at the Faculty of Science and Engineering and in
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The REACT MSCA DN Project: Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic
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possess a doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware
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doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware design and
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possess a doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware
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Biomolecular Sciences and Biotechnology Institute (GBB – https://www.rug.nl/gbb ), one of the larger institutes of the Faculty of Science and Engineering (FSE), provides an excellent environment for top-notch
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. Organisation The University of Groningen is a research university within the top 100 on several influential ranking lists. The Faculty of Science and Engineering offers first-rate education and research in a
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lists. The Faculty of Science and Engineering (FSE) is the largest faculty within the University. We offer first-rate education and research in a wide range of science and engineering disciplines, from
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of the steel processing and to act as virtual tool for the selection of new steel compositions and of optimum processing conditions. Advances in digital twins also lead to fewer experiments and less usage of raw