49 phd-data-analysis Postdoctoral positions at Technical University of Denmark in Denmark
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Job Description If you are passionate about data analytics, numerical modelling and marine research, we have an opportunity for you! DTU Aqua invites applications for a two-year postdoctoral
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Centre. DTU Biosustain utilizes these advances for microbial cell
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characterisation of molecular building blocks and templates; enzymatic synthesis and analysis of dynamic systems of oligosaccharides; biophysical studies using spectroscopy (NMR, UV-Vis, fluorescence and CD
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-supervise MSc and PhD students. Optionally support teaching and proposal activities. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science
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). Following the fate of your nanoparticles when applied onto the leaves (TEM, Cryo-SEM, AFM, chemical analysis, spectroscopy, etc). Studying and modelling the interactions of the applied nanoparticles
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Academic Diplomas (MSc/PhD – in English) List of publications A one-page statement discussing your view on how to develop robust metrics and data collection methods for measuring and assessing environmental
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your scientific knowledge. The central competences required in this research are meteorology, mesoscale modelling, analysis and interpretation of meteorological datasets. We are also interested in
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration