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data analysis. This position is part of an interdisciplinary research project funded by EIT Food, aimed at advancing the design and effectiveness of environmental food labels to support more sustainable
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development. You have experience in medical statistical data software analysis (using R, STATA or similar), as well as integrative analysis of molecular data in relation to clinical datatypes, such as
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auditing Forensic analysis and fraud detection Advanced financial statement analysis (building on AU existing course) International business Business Psychology Crisis communication Digitalization (e.g. data
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developing new analytical methods within vitamin analysis using high performance liquid chromatography and fat and fatty acid analysis by gas liquid chromatography. The candidate is expected to perform state
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, analysis, synthesis, and visualization of the many exiting data sets we have and will collect. The main focus lays on statistical analyses of these data sets rather than the data collection, however
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analysis and troubleshooting. Previous experience in the use and data analysis of DVC System (Techniplast) Candidates should have the following personal skills: Excellent interpersonal and collaborative
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span a wide range of fields, from the classical mathematical disciplines (mathematical analysis, geometry and algebra) to applied and theoretical probability theory, statistics, operations research, and
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. Analysis of the power system and its resilience under various contingency scenarios. Energy systems and business models, with an emphasis on energy harvesting. Designing optimal sizing and placement
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, including SPE-HPLC extractions of complex chemical mixtures from human samples followed by determination of bioactivities in mammalian cell cultures. To do advanced statistical analysis. You will report to
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flexible mindset. The tasks and responsibilities range from creating experimental paradigms and data acquisition and analysis, requiring a solid theoretical and practical background in relevant fields