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, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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possible every day by more than 500 passionate physicians, biologists, physicists, data scientists and technologists, that work in the hospital wards and across 10.000 square meters of high-tech laboratories
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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spectrometry and ion activation strategies (e.g. EID and photo-dissociation). The project will entail improving the current capability of glycoprotein structural analysis using bottom-up mass spectrometry
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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their own research skills in ocean modeling, data analysis, and scientific communication. Contribute to identifying new research opportunities and potential collaborations, helping to expand the research
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. The project involves both hardwood and coniferous species such as white oak, black walnut and shortleaf pine. The postdoc’s work, which will include field work, laboratory and data analysis components, will
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focused on understanding and countering harmful narratives and, mis/disinformation, and applying social network analysis. To be successful you will need: PhD in a relevant discipline such as computer
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that support global sustainability objectives. Job Responsibilities Typical Functions: Research & Analysis: Conduct laboratory-based research on bio-based and compostable packaging materials; analyze data