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understanding of the process, statistics and data analytics shall be applied to link the different conditions to the likelihood of microcracks occurring. The severity of microcracks may also be studied in
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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. This position is funded by the Danish Research Council Project 1 (DRC-1), which aims to address fundamental problems in geometric singular perturbation theory within the setting of slow-fast analytic vector
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simulation and modelling tools In addition, we look for a candidate with strong communication and collaboration abilities as well as excellent problem-solving and analytical skills that have been demonstrated
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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extraction techniques. Strong knowledge of protein science and its application in food systems. Proficiency in analytical techniques relevant to food and protein characterization. Skills in statistical
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focus is demonstrating how predictive analytics can improve maintenance and production planning. By comparing data-driven and traditional methods, the project will highlight the tangible benefits
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perhaps you are our new researcher You will develop analytical methods to quantify the individual vitamers, as well as precursor and degradation products. You will evaluate content of vitamins and nutrient
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lymphocytes Basic skills in molecular biology and biochemistry (e.g. cloning, gene expression, protein identification) Analytical skills including analysis of multi-parametric flow cytometry and experience with
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on enzyme kinetics and stability measurements. The team have access to labs equipped with alternative reactors and excellent analytical equipment. Responsibilities and qualifications The position includes