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networks. The Pertz Lab has developed powerful optogenetic tools and fluorescent biosensors that allow direct perturbation and measurement of these networks using light. Together with the Ginsbourger Group
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or equivalent Skills/Qualifications • Solid knowledge in bioengineering, biotechnology, or biomedical engineering. • Experience or interest in biosensors and biomarker detection. • Fundamentals of analytical
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chromatographs, controlled-environment gas exchange and fluorescence measurements and biosensors. Producing peer-reviewed publications from both ongoing and previously conducted research. Providing support for
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Advance at Chalmers. You find the full list of PIs of these research groups on the Chalmers homepage: https://www.chalmers.se/en/collaborate-with-us/collaborate-in-research-and-innovation/research-related
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Where to apply Website https://www.rfgi.es/ConvocatoriasPropiasFIMABIS/es/Convocatorias/VerConvocatori… Requirements Research FieldMedical sciences » Health sciencesEducation LevelPhD or equivalent Skills
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for alternative analytical approaches for vaccine–antigen quantification. You will then learn current industry best practice methods involving ELISA assays and biosensor technology at Zoetis before developing and
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Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg | Sweden | about 1 month ago
on the university's doctoral student pages https://www.gu.se/en/doctoral-studies Duties Doctoral education in Medical Science comprises carrying out a scientific project and completing at least 30 credits of courses
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well as microscopy methods such as Brillouin microscopy, molecular rotors and custom biosensors. Further information about the research activities of the Hamann group can be found in the following publications: Bacete
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biosensor imaging, and behavioral pose estimation. The specialist will integrate multimodal datasets and apply advanced statistical and machine-learning methods to uncover relationships between gene
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, which focuses on rapid diagnostics in sepsis using biosensors. The projects in the Polsterlab will center on detecting biosignatures in blood with the help of advanced deep learning methods. A special