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across multiple molecular layers, from RNA and protein abundance and stability to protein function and cellular fitness. By integrating these complementary readouts, we aim to uncover the mechanisms
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, including field soil sampling and soil nutrients analyses, experimental design, gene clone, PCR and qPCR, sequence library preparation. These skills are critical for maintaining lab productivity and
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mutations across multiple molecular layers, from RNA and protein abundance and stability to protein function and cellular fitness. By integrating these complementary readouts, we aim to uncover the
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will participate in multiple parallel projects, including performing DFT calculations on heterogeneously catalyzed reactions, kinetic modelling of catalyzed reactions in the gas- and/or liquid phase
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simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces the structure of real prospection activities by integrating multiple
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networks, IoT devices, which must be acquired, correlated and interpreted using multiple specialized tools. This complexity, combined with the increasing sophistication of cyber-criminal activities
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reproduces the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement