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spectroscopic parameters, with a particular emphasis on magnetic resonance. This is an ideal opportunity for candidates interested in applied quantum chemistry, especially with a focus on heavy element compounds
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measurements, data collection, and analysis. Prediction of service life and assessment of fatigue behavior of automotive structures. Preparation of research outputs, including reports, publications, and
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methods of detection, identification, classification and tracking of objects of different sizes, shapes and speeds of movement using elements of artificial intelligence and machine learning. • Research work
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for biological sample preparation prior to analysis, development and validation of separation methods for use in pharmaceutical analysis and bioanalysis, interpretation of the data obtained in relation
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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
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examines how the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling
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analysis. Publication Activities: Regular publication of research results in peer-reviewed journals, presentation at scientific conferences, and collaboration with national and international research
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and cellular analysis of the ischemic brain using spatial and single-cell transcriptomics Profile of the graduate The graduate understands key areas of informatics, such as algorithms and software
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applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new cartographic
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similar sites around the world. Requirements: A master's degree in microbiology or a related field Basic training in microbiology (preferably environmental microbiology), statistical analysis and