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the physical chemistry of hydrogen bonds. Your overall focus will be the collection of experimental spectroscopic data and its analysis with quantum calculation techniques and molecular simulation methods. Your
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and chemistry, as well as experience with gut microbiome analysis. You need to be ambitious, highly motivated, capable of working independently, and have good skills within written and spoken English
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an internationally recognised multidisciplinary team to develop new technologies and advanced analytics such as deep learning methods for the analysis of images and videos for species identification
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, high-throughput testing, and systemized catalyst test campaigns Data analysis and assessment of performance Upscaling and extrusion of catalyst Therefore, we are looking for a colleague with a strong
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, glycoengineering, glycoanalytics, and big data analysis will be of great advantage. Moreover, you as the postdoc is expected to contribute to inter connective team tasks as well as in teaching and supervision of PhD
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recommendations. Engage in teaching professionals via engaging presentations and case studies. Your ideas and inputs e.g., new methods, tools, and analysis, are highly welcomed. Qualifications: Excellent track
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for the analysis and optimization of silicon single crystal production. The section for Manufacturing Engineering at DTU Construct is seeking two highly motivated postdocs for a project on multi-physics, multi-scale
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microscopy techniques. The work is part of a highly interdisciplinary collaboration – Biocatalysts Interactions with Gases (BIG) - comprising novel characterization, analysis, testing, and modeling of gaseous
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microscopy techniques. The work is part of a highly interdisciplinary collaboration – Biocatalysts Interactions with Gases (BIG) - comprising novel characterization, analysis, testing, and modeling of gaseous
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techniques. Development of quantitative image analysis to extract dynamic information encoded in single and series of atomic-resolved images of single nanoparticles. Investigation of dynamic processes