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- MASARYK UNIVERSITY
- Czech Technical University in Prague
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research and 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
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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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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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, verifiable publication activity in the field of qualitative/quantitative analysis of biomolecules using mass spectrometry, in-depth knowledge of one of the following areas of research: targeted MS proteomic
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, implementation, and testing of irrigation systems, application of automation and robotics elements, and solving materials and construction aspects of horticultural buildings. The department possesses high-quality
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, especially with a focus on heavy element compounds. The Marek Lab has access to state-of-the-art computational tools and cutting-edge NMR instruments at our local core facility, available for regular use. With
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studies Application of basic and advanced statistical methods (e.g., linear/logistic regression, Cox regression, potentially also multilevel analysis, structural equation modelling, mixed-effects modelling
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-of-cellular-metabolism/ The position is for you if: …you have strong data analysis skills and enjoy working with large, complex datasets (e.g., single-cell, spatial, imaging-based or other omics data) …you have
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Academic Position at the Department of Statistics and Operations Analysis, Faculty
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-of-cellular-metabolism/ The position is for you if: …you have strong data analysis skills and enjoy working with large, complex datasets (e.g., single-cell, spatial, imaging-based or other omics data) …you have