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Łukasiewicz Research Network - Institute of Microelectronics and Photonics | Poland | about 1 hour ago
, 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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5 Sep 2025 Job Information Organisation/Company Gdańsk University of Technology Department Faculty of Electronics Telecommunications and Informatics, Department of Algorithms and Systems Modelling
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to assess the differences in functioning of natural and novel ecosystems, spontaneously developing in post-coal mining spoil heaps. We will also assess when novel ecosystems will be similar to natural
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in a country different from the one where the PhD degree was obtained. at the time of receiving remuneration from this project, they will not be receiving any other remuneration from NCN-funded
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the use of statistical and graphical software such as Statistica, GraphPad Prism, ImageJ, or equivalent, and the ability to select appropriate statistical tests for different data types and interpret
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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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: Conducting research in the field of determining the technical condition of aircraft structures, with particular emphasis on non-destructive testing. Development of test programs, methods, algorithms and
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plants with different leaf optical properties as part of their master's thesis. Key responsibilities include: 1. Planning and conducting experiments in molecular biology, physiology and plant biotechnology
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candidate will focus on developing algorithms that enable the fitting of glycans and other flexible protein regions into low-resolution areas of cryo-EM maps. Working in close collaboration with
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The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences | Poland | 10 days ago
Systems Group. The selected candidate will conduct research focused on the development of physics-inspired algorithms, quantum computing using tensor and neural networks. The position does not include