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- Łukasiewicz Research Network - Institute of Microelectronics and Photonics
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Field
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nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and foreign funds annually, the goals of which
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quality measurement and modelling, deployment of fixed and mobile monitoring systems for PM./PM, ultrafine particles, black carbon, NO and CO; integration of reference, satellite, and low-cost sensors; and
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systems * knowledge of modern artificial intelligence algorithms * practical experience in implementing IT services using artificial intelligence technologies * experience (minimum 5 years) in teaching
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the Matlab and LabView environments for acquiring and analyzing measurement data, developing algorithms for criterion quantities for assessing the emission and propagation of conducted disturbances up to 150
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design of microelectronics and photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed
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photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and foreign funds
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: The candidate should be skilled in applying measurement techniques for heat transfer and multiphase flow characterization, including temperature and pressure sensors, void fraction probes, and phase change
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. Application programming in Linux environment. Experience in applying artificial intelligence algorithms. Proven knowledge (e.g., certificate, employment certificate as a designer) of CAx systems. Verified
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, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and foreign funds annually, the goals of which are to increase
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/undertaking dr hab. Szymon Toruńczyk Description of programme/project/undertaking The combination of methods from logic and graph theory has been extremely successful in the design of algorithms, in complexity