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kinetic modeling Familiarity with machine learning methods, such as elastic net regression, support vector machines, and random forests Familiarity with matrix decomposition techniques, such as Principal
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well as environmental monitoring. The group currently consists of 12 postgraduate and senior members and four master students. We offer an 18-month postdoc position within the multidisciplinary project InRoot
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characterization, this position is an excellent opportunity for you: at DTU you will break new ground at the forefront of innovation and technology development. Responsibilities and qualifications The main objective
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coherent diffractive imaging and ptychography. The primary tasks that you should aim to accomplish are: Simulate disordered dispersions of nanoparticles on a surface and corresponding data, attempt
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qualifications The primary responsibilities and tasks include (but not limited to): Development of nonlinear finite element models of offshore platforms with emphasis on damage modeling Calculation of the linear
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6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in
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materials science. The candidates must have a strong background in computational chemistry, physics or materials science and/or machine learning, and are expected to have performed original scientific
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project reports, participate in project meetings. Co- supervising bachelor, master, and PhD students. Writing and publishing high quality papers. Laboratory management. Because the ambitious nature
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solutions for next generation heat pump units as well as novel contributions to the scientific field. Your primary tasks will be to: Conduct research on component-based and object-based modeling in modern
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the Independent Research Fund Denmark (DFF). The project is in collaboration with researchers at Cambridge University (Prof Tom Blundell and Arun Pandurangan). The main goal of the project is to understand