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Field
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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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techniques (lithography-based) to manufacture highly controlled three-dimensional electrode structures. Strong collaboration is expected with other project partners in areas such as multiscale modelling
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control, as well as observe important chemical or biological reactions related to life sciences. Among several optical methods for measuring gas concentrations, absorption spectroscopy with broadband, laser
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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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instrument that will allow the analysis of mesoscale thermal processes under highly controlled experimental conditions in order to understand the fundamental nature of heat transport and to measure the thermal
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 4 days ago
. PhD Topic AI-based real-time embedded audio Digital Signal Processing (DSP) is an emerging field which promises to revolutionize our daily life. Embedded real-time audio DSP can be found in hearing aids
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43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Are you excited about sustainable
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, a photochemically triggered self-assembly will be studied in details to achieve spatio-temporal control ranging from the nano- and micro-scales to the macroscopic material. A dynamic behavior will
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of semiconductor properties through electronic doping to control and modify its electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve
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), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development