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Field
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for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition
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and in vivo experiments and generating single-cell sequencing data Analyzing recorder outputs and high-dimensional datasets to study cancer evolution Presenting and preparing results for publication
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. This is part of your personality: Completed doctoral/PhD studies in subject chemistry, preferably in analytical chemistry or equivalent qualification, PhD in chemistry or biomedical research Profound
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level of analytical and problem-solving capability Ability to communicate complex information with clarity and to encourage the commitment of others Experience of research with clear transferable skills
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of PhD), or Research Associate (more than 3 years of PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural
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troubleshooting custom measurement systems. Skills in data analysis including scientific programming. Ability to communicate professionally and work in interdisciplinary teams. Minimum Qualifications PhD in related
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in both oral and written English is essential. Research experience with single-molecule methods, FRET, cryoEM, microfabrication, and/or data analytics is strongly preferred but not mandatory. Job
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confirmed defence date) in Political Science, Law, Economics, or a related discipline Demonstrated academic writing skills and analytical ability Familiarity with digital policy areas (e.g. data governance
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environmental-related applications. In the laboratory of Prof. Kleitz, the researchers have access to state-of-the-art analytic techniques for the characterization of such porous solids, including gas adsorption
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential