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due to illness, parental leave, clinical service, appointments of trust in trade union organizations, or similar circumstances. Requirements A PhD (or equivalent foreign degree) in a relevant discipline
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of publications and manuscripts. Copy of your PhD degree certificate if completed. Contact information for three referees should be included in your application. Further information: Informal enquiries can be
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at Chalmers University of Technology , studying protein aggregation from a biophysical perspective and in cells. The position also offers the opportunity to collaborate with analytical chemists in
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into consideration. The following education, experience, and expertise are required: A PhD in biomedical engineering, (bio-)physics, applied physics, materials science, (organic) chemistry, or equivalent Electrical
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curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: -Multi-modal data processing for decision-making in natural environments -Terrain
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includes the PI, a PhD student, and a research expert in bioinformatics. The workplace fosters strong international collaboration, with close integration with the Halberg Group at Copenhagen University
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responsibilities As a postdoctoral researcher in the group, you will need to perform sample preparation, data collection and analysis work as agreed during regular meetings. You will also need to participate in
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of large bandgap semiconductors has been at the international forefront. More information can be found at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key
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. Strategic management of platforms and innovation ecosystems – open innovation, platform orchestration, and multi-stakeholder partnerships in dynamic environments Strategic use of intellectual assets and data