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Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy
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for biosensing or biointerfacing The successful candidate is expected to demonstrate scientific excellence and a proven ability to independently plan, execute, and interpret advanced experiments and experience in
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the instructions in the job advertisement, and that it is submitted before the deadline. The instructions for applicants are available at: How to apply for a position . Where to apply Website https://su.varbi.com/en
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Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
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: Documented skills in using magnetic and visual stimulation systems for studying insect navigation. The ability to work independently and to solve problems in the field. Consideration will also be given to good
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. The point of departure is the role of product innovation in the sustainable and digital transformation of industry. The focus is on how companies, in collaboration with system providers and other actors, can
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are required for interacting effectively with colleagues and peers, including colleagues from complementary research fields. Ability to work independently is a requirement. Application The application must
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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sensitivity and stability with significantly lower power consumption than is currently considered state-of-the-art in the 2-5 THz frequency range. The long-term goal is to enable future atmospheric science
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applied to unstructured environments. Proven ability to design, implement, and evaluate experimental systems involving hardware and sensors. Experience with multi-modal sensing (e.g., RGB-D, thermal, LiDAR