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at the nanoscale --non-invasively and with high precision. Who we are looking for We seek candidates with the following qualifications: We are seeking a talented and driven individual with a PhD in physics, optics
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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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forests and marine environment and pest surveillance in aquafarming. Our group will comprise a handful of PhD candidates, and several researchers and MSc students and also a broad interdisciplinary network
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manipulation, and metasurfaces. Who we are looking for We seek candidates with the following qualifications: The applicant should have a PhD degree in physics, optics, nanoscience, or a related subject area. The
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photonics integration. If you're passionate about advancing optical technology, do not hesitate to apply! Information about the division and the department An optical frequency comb is a laser source with
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We are looking to recruit a postdoc in the Electronic and Photonic Materials division in the Department of Physics, Chemistry and Biology (IFM) for research on the ultrafast optical spectroscopy
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participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a
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Wallenberg Academy Fellow 2021. Read more at: https://liu.se/en/research/soft-electronics At the Laboratory of Organic Electronics (LOE) we explore electronic and optical properties of organic semiconductors
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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Work assignments This position is primarily a
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microorganisms, and developing of spectral collection and analysis protocols that will allow this biochemical data to be effectively used to support optical microscopy-based deep-learning algorithms for species