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to the air. This project aims at developing analytical methods and capacity to sample and quantify volatile PFAS compounds and air emissions from Danish landfills and treatment plants. The project is carried
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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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expected to involve approximately equal measure of analytical, computational, and exploratory work. You are expected to help advance the theoretical understanding, e.g., by development of new theoretical
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of nanoscale devices, and theoreticians employing a wide palette of analytical and numerical techniques to provide better understanding of and control over the fundamental properties of light-matter interactions
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: Develop and refine experimental tasks. Manage collaborations with external partners. Plan and execute analysis strategies. Work with large datasets and apply advanced analytical methods. Contribute to both
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an inclusive and collaborative work environment. Qualifications Extensive experience in stellar modeling (MESA & GYRE) Experience in magneto-asteroseismology is highly desirable. Strong analytical skills and a
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, you must hold a PhD degree in analytical chemistry, chemical engineering, biomedical engineering or other related disciplines. Experience in SERS and SERS data analysis. Experience in sample preparation
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in district heating modelling, advanced controller development, and smart energy systems is advantageous. Strong analytical skills, the ability to work collaboratively in interdisciplinary teams, and a
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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 analysis of biological