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is to design a data architecture capable of harmonising sensor data and integrating them with artificial intelligence algorithms for predictive irrigation management. The research will include
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sophisticated tracking algorithms, AGATA enables precise reconstruction of gamma-ray interaction points, superior Doppler correction, and excellent peak-to-background performance. Working with AGATA provides
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for operational risk management in companies with different levels of occupational health and safety culture Main ideas of the proposed dissertation topic: 1. Development and scientific validation of an operational
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of food prices in Slovakia, the development of prices within the food vertical, as well as the impact of food inflation on food security. The increase in food prices has had a different impact on different
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order to identify differences in institutional approaches. Both qualitative and quantitative methods will be applied, especially the analysis of secondary data, case studies, and comparison of economic
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of different brands or manufacturers of additives in order to determine which of them most significantly influence the rheological properties of the examined oil. The outcome of the thesis will be
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defines the basic properties and differences of VR/AR, describes their advantages and disadvantages, as well as their practical use in industry. The doctoral student will design three-dimensional models
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investment strategies. Selected strategies are then tested in different macroeconomic scenarios through backtesting, allowing for an assessment of their effectiveness under changing market conditions. The
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for improving farm bargaining power. Different types of solutions are included: (i) horizontal collaboration in cooperatives and producer organisations; (ii) vertical coordination along FSCs; (iii) regulatory and
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under different operational conditions. High breakdown voltages and low on-resistances are particularly critical for optimizing device efficiency and minimizing energy losses. Mechanisms of failure