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, SNA, Machine Learning, Sentiment Analysis) with qualitative ones (digital ethnography, narrative analysis). One of the tangible side-effects of the project will be developing research tools for Polish
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interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images of cellular events, such as those obtained in
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“Spatiotemporal light shaping and photon counting cameras for microscopy” carried out within the FIRST TEAM FENG programme of the Foundation for Polish Science The aim of the project is to develop new imaging
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Academy of Sciences. The PhD student will be responsible for development and conducting of epitaxial growths by plasma-assisted molecular beam epitaxy of III-nitride layers and heterostructures on SiC and
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broad research profile; • professional development: participation in various courses, workshops, trainings; • access to top-level geochemical facilities; • comprehensive social benefits; • other non
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recognised scientists 3) scientific support and the opportunity to improve skills and professional development 4) access to research infrastructure 5) additional days off (5-9 days per year) depending
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to improve skills and professional development 4) access to research infrastructure 5) additional days off (5-9 days per year) depending on the calendar 6) additional annual remuneration (the so-called “13th
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, • experimental sessions, determination and optimization of discharge parameters • analysis of data and development of results obtained in experiments. In addition, the person employed in the project will be
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adaptation. This could be a significant step in exploring such an intriguing group of plants and comprehensively studying their evolution. The obtained results would serve as the basis for constructing new
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Energies and Atomic Energy Commission (CEA-France) and the Technical Research Centre of Finland (VTT-Finland). NOMATEN focuses research on the characterization, analysis and development of advanced