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within the framework of the TCNA project. You collect scientific data relating to the analysis of nitrosamines in various foods, to the occurrence of these components in foods and you study their formation
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of time Job profile You hold a Master’s degree, preferably in a quantitative discipline (e.g. mathematics/physics/engineering), and/or you are familiar with coding and data analysis regardless
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carrying out data collection and analysis) and contributing scientifically to this domain (reporting findings, including writing scientific articles); You are eager to learn and quickly master new skills
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the analysis, design and optimization, resulting in a unique position in the field. The overall goal is to support more energy efficient systems in buildings and industry. With this, the research contributes in
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an affinity for (prospective) sustainability and/circularity analysis. We are looking for candidates with a critical and analytical attitude and a sense of initiative. Other profile requirements: You hold a
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familiar with (quantitative) research methodologies, possess strong analytical skills, and have experience with data analysis. You are intrinsically motivated, have a critical mindset, a keen eye for detail
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. Students graduating this academic year can therefore apply. You show a strong interest in nanomaterials, structure analysis, spectroscopy and synchrotron big data science. You are proficient in Python
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both the cost and duration of the thousands of arbitration proceedings initiated each year. The research will combine empirical analysis with traditional legal methodology and will require