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profiles: allergy, cardiovascular medicine and inflammatory diseases Duties We are looking for a highly motivated and ambitious postdoctoral researcher to explore the functional plasticity of TRM cells in
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-neutral fuels, there is a possibility to achieve fossil free shipping. Hard wing sails are a common wind propulsor, but optimizing their performance requires advanced sheeting strategies to prevent stall, a
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
(HCFs) can potentially provide several key advantages over conventional fibers, including lower propagation loss, lower latency (due to the faster speed of light in air than in glass), lower nonlinearity
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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techniques in nonlinear optics (generalized nonlinear Schrödinger equation, Lugiato-Lefever equation, etc.). * The date shown in your doctoral degree certificate is the date we use, as this is the date you
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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speed of light in air than in glass), lower nonlinearity and dispersion, and the liberty of choosing light wavelengths in a wider spectral range. These HCFs are based on anti-resonant reflection by sub
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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
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optimize catalysts for the production of sustainable aviation fuels from bio-based feedstocks. The use of bio-based feedstocks results in new challenges and the optimal catalysts as well as the relevant
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application! Work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning