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Field
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writing, peer-reviewing, laboratory management, and administration. Qualifications: Self-motivation and working independently. Data analysis skills. Trouble shooting ability. Excellent written and verbal
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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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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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neurological function, including in rugby and snow sports. You should hold or be near completion of a PhD/DPhil in Biomedical, Electrical or Information Engineering or other relevant disciplines, and possess
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) in computer vision or robotics or biomedical image analysis. Knowledge of ultrasound imaging is not a requirement. You should have a strong publication record at the principal conferences and/or
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-, and post-procedural data collection, CTA measurements, and ultrasound interpretation. Develops clinical research studies and conducts data collection, data analysis and interpretation in advance aortic
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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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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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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