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, this PhD project explores radio frequency (RF) technology as a novel processing method for the insect industry. RF technology is a dielectric, volumetric heating method that uses electromagnetic waves
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) methods. The candidate will conduct a systematic review of information available on CRMs and their relevance and variability in products value chains, in order to construct value chain-specific Life Cycle
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concerning the detection of casewise and cellwise outliers using robust statistical methods. This project is within the thematic field “Robustness in complex data analysis and statistical modelling
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qualitative research methods and are open to learn quantitative research methods. • You are eager to collaborate in a truly interdisciplinary way with PhD students and scientists in the fields of management and
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relevant social science discipline. You have obtained excellent academic results in your previous studies. You have a strong interest in qualitative research methods. Familiarity with literature
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methods to study helitron transposons and their role in creating genetic variation: We have previously developed a long-read sequencing method called CIDER-Seq to sequence extra-chromosomal circular DNA
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essential to reduce the size of the reactor and, consequently, its overall cost. The past decades, gradient-based methods have been proven extremely powerful in combination with computational fluid dynamics
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, Computer Sciences, or equivalent Excellent motivation to work on soil-plant processes, remote sensing and modeling Experience with data-processing or programming in Python, Matlab, IDL, GrADS, R, or other
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of theological ethics – its underlying anthropology, its method (especially in relation to its sources), as well as a whole range of applied issues. The succesful candidate will: Work on the preparation and
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in the development of numerical simulation methods. You have: · A master’s degree in electromechanical/energy engineering OR electrical engineering or mechanical engineering OR mathematicalengineering