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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology
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Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and machine learning applications Experience with machine learning methods
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tested in high hydrogen pressure reactors and the gas will be analysed with GC. A central part of the work will be detailed catalyst characterization. A wide range of methods will be used, including XRD
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properties. Advanced characterization methods and development of new techniques – We specialize in hyphenated rheological methods such as rheo-SAXS and rheo-DES, which are primarily applied to materials like
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important
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pharmaceutical materials. In this postdoctoral project, chemically modified cellulose fibers and pharmaceutical formulations are the focus. The aim is to adapt and develop methods in solid-state DNP-NMR
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methods, modeling, or related areas. Qualifications: A doctoral degree in astronomy or related fields, awarded no more than three years prior to the application deadline.* Strong written and verbal
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infection models Microbiology assays, protein purification and biochemical assays MS-proteomics analyses and advanced microscopy Supervise master’s and/or PhD students to a certain extent Possibility to