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and mining tools for the analysis and assessment of power grid parameters, as well as data-driven modelling. Individual and team work, publishing research results in scientific journals, active
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mRNA-protein and protein-protein interaction of the Rbs1 assembly factor. We will also use a bottom-up approach to recombinantly synthesize Pol assembly intermediates for their structural
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properties. Knowledge of scanning electron microscopy techniques is also required, as they will be applied in the analysis of materials. In addition, the employee will be involved in the implementation
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documented by scientific publications or activity in the student scientific movement, covering topics:design and implementation of systems for visual data processing and analysis, knowledge and
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for the analysis of measurement data -To determine correlation parameters for different samples and implementation of deep learning for signal analysis -To perform experimental set-up for measurements of mice with
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research and teaching, MS Office, and statistical data analysis skills. The competition may be entered by persons who meet the requirements provided for in Article. 113 of the Act of Law on Higher Education
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70 or higher; • knowledge of essential mathematics and computer science topics related to statistical data analysis; • at least intermediate knowledge of the R language; • at least intermediate
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structure) or extrinsic factors (protein modification and/or protein-protein interaction). Currently, it is unknown what kind of intrinsic or extrinsic elements impact transport directionality. Therefore, we
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; • Extensive knowledge of solar flare physics; • Extensive experience in the analysis of astronomical data (images and spectra) from X-ray and UV/EUV instruments; • Documented experience in designing Bragg
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for published works according to the Ministry of Science and Higher Education (MNiSW) scoring system, including at least 10 scientific publications with an Impact Factor (IF) in journals indexed in