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system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models and machine
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. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with correspondingly skilled
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control, open-source background checks may be conducted on qualified candidates for the position. DTU Chemistry is a leading chemistry department with 28 faculty, 30 postdocs, and 55 PhD students
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on qualified candidates for the position. DTU Chemistry is a leading chemistry department with 28 faculty, 30 postdocs, and 55 PhD students. The Organic Chemistry Section consists of 9 research groups spanning
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information may be obtained from Associate Professor Fatemeh Ajalloueian, faaj@dtu.dk , and Postdoc Gohar Soufi, gohsoo@dtu.dk . You can read more about DTU Health Tech at www.healthtech.dtu.dk . If you are
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with colleagues at DTU and IIT Bombay, as well as with academic and industrial partners globally. The main purpose of this PhD position is to develop, implement and assess machine learning models
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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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, or biophysics. Experience with experimental organic chemistry, NMR, kinetic modelling and/or cheminformatics are advantages. The candidate must be able to work independently, but also participate in
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Cadence Virtuoso, Spectre, or Mentor Graphics. Understanding of semiconductor device physics, especially MOSFET operation, modeling, and scaling. Strong analytical and problem-solving skills, with
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nanoparticles and reactions at the atomic-level by combining path-breaking advances in electron microscopy, microfabricated nanoreactors, nanoparticle synthesis and computational modelling. The radical new