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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
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of neuroimaging data and experience with computer programming, in particular Matlab. You have a strong interest in music. You have good interpersonal skills, are friendly, helpful, and able to contribute to a good
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, modeling of topological superconductors, protocols for observation of nonlocal quantum information storage, topological effect in open system, or next generation superconducting qubits using hybrid materials
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administrative staff at POLIMA. For further information about the positions and the research center, contact Assistant Professor Nicolas Ubrig (ubrig@mci.sdu.dk ). If you experience technical problems, please
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architecture, Design experiments, collect data, and validate ideas in collaboration with the broader engineering team. Profile and requirements The candidate will participate in research and development
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We are looking for a highly motivated postdoc to join the Cvejic Lab with the commence date of July 15th, 2025 or soon thereafter. Information on the department can be found at: BRIC – University
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and Chemical Engineering, Ole Worms Alle 3, Aarhus 8000, and the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Associate
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/education/files/job-structure-for-academic-staff-at-universities-2013.pdf For further information about the position, please contact the PI Andreas Bandak, e-mail: bandak@hum.ku.dk Application Submit
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applications (Python, C/C++, or related languages) Further information about this position is available via email from Assistant Professor Mubashrah Saddiqa (msad@mmmi.sdu.dk ) or Torben Worm (tow@mmmi.sdu.dk
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners