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letter describing their research interests and accomplishments, and the names and addresses of 3 references to steven.varga@stjude.org . Contact Information Steven Varga, PhD Department of Infectious
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, a support-staff of ~30 people, ~150 PhD-students and postdocs and around 400 students. For further information, please contact Professor, dr. scient. et techn. Bo Brummerstedt Iversen (bo@chem.au.dk
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
regions of the world, and at the same time impact the climate positively utilizing CO2 as raw material. To be launched into scaled solutions, the technology needs to be optimized through leveraging digital
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of Michela Di Virgilio at the Max Delbrück Center for Molecular Medicine (MDC), Berlin. This fully funded position offers an exciting opportunity to investigate the molecular mechanisms of genome integrity and
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2026 or as soon possible. Job description This position will involve designing, conducting, and analysing experiments to understand the impact of inflammation on the gut-brain axis in the zebrafish model
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collected from the fields of different spatial scale and use and process digital data. We expect that you will be an important part of the research environment and that you will contribute positively
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email: rebecca.kesselring@uniklinik-freiburg.de General information: Salary is assigned according to a pay scale. Unless prevented by operational or legal reasons, full-time positions are generally open
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trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
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) including advance SAXS data analysis and modelling . The following qualifications are also important: Have a good understanding of advanced physical-chemical analytical techniques Experience with in-house
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electrophysiology to translational models, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes