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state-of-the art computational methods for larger scale data analysis, and/or the integration of multiple different datasets (such as VDEM, Compustat, BoardEx, etc.) and/or the collection of original data
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thorough interest in NMR spectroscopy and X-ray crystallography in structural biology Expertise in experimental techniques (e.g. NMR spectroscopy, NMR data analysis, RNA wet lab work, other biophysical
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candidate profile: Strong academic background in protein chemistry, preferably with experience in carbohydrate-active enzymes. Experience in bioinformatics analysis, protein structure analysis
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of the proposed data and incorporate an assessment of relevant methodological approaches. They should preferably rely on computational and data-driven approaches (including quantitative text analysis) for measuring
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PhDs, along with their supervisors in the MSCA Doctoral Network AWETRAIN project. Three of the positions will be located in Roskilde. More information on AWETRAIN is located here . Your main supervisor
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chemistry, and data analysis, ensuring a comprehensive, interdisciplinary approach to this exciting field of research. You will be part of the research teams of Associate Professor Lars Behrendt and Professor
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-connected services, power systems, renewable energy, electric vehicles, etc. Further, to implement advanced measurements (EIS, ICA, pulse-excitation techniques, embedded sensors, etc.), perform data analysis
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2025 to 30 April 2028. The position is a 20% employment (aprox. 1 day per week). Further information Further information may be obtained from Associate Professor Vitaliy Zhurbenko, vizh@dtu.dk You can
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related field is an advantage. Hands-on experience with large-scale short and long-read metagenome analysis. Excellent oral and written English language skills are a requirement. The applicant must be
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Biotechnology, Bioinformatics or a closely related field is an advantage. Hands-on experience with large-scale short and long-read metagenome analysis and associated DNA sequencing. Excellent oral and written