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. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics
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) models for empirical statistical analysis, as well as potential experimental designs to validate findings. Empirical setting The research will utilize data from the Danish Innovation Fund, integrated with
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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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advanced statistical and epidemiological analyses. Complete PhD courses (approx. 30 ECTS credits). Analyze data from national health registers and surveys. Write and publish scientific articles in peer
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through high-quality journal publications and presentations at international conferences, workshops, and symposia. Collaborate with Academic and Industrial Partners: Work closely with supervisors, postdocs
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of two Associate Professors, two Assistant Professors, a Lab Manager, a Center Administrator, and app 10-15 PhD students, postdocs and visiting scientists. Several POLIMA researchers have attracted
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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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, two Assistant Professors, a Lab Manager, a Center Administrator, and approximately 10–15 PhD students, postdocs, and visiting scientists. Several POLIMA researchers have attracted prestigious personal
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Laboratory techniques for sample preparation Analysis of mass spectrometric datasets and statistical calculations Contribute to in vitro analyses Contribute to carrying out animal experiments Contribute
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for empirical statistical analysis, as well as possible experimental designs to validate findings. Empirical setting The research will utilize data from the Danish Innovation Fund, integrated with databases