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microbiology. They learn contemporary microbiological, molecular genetic, bioinformatic, biochemical, analytical, and biophysical methods for studying microorganisms. Key research areas include physiological
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of machine learning technologies, including large language models within the Department of Food and BioResource Technology, with a special focus on technologies applicable in so-called developing countries. As
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identification, i.e. learning of models from measured data, and iii) real-time control, e.g. using the model predictive approach. We are working on several projects with industrial partners across the energy
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 13 hours ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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lifelong learning. Practical experience in clinical research is desirable, particularly for the ability to translate theoretical principles into concrete and understandable examples. Your responsibilities
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30 Dec 2025 Job Information Organisation/Company UCT Prague Research Field Chemistry » Analytical chemistry Researcher Profile Recognised Researcher (R2) Country Czech Republic Application Deadline
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and migrations of ancient humans in Eurasia; Other ongoing projects in the Laboratory of archaeogenetics, such as testing and improvement of analytical methods such as PCA and manifold learning
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focused on clinical research methodology. The program is primarily intended for professionals in clinical research engaged in lifelong learning. Practical experience in clinical research is desirable
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, interviews, and feedback processing). Strong understanding of didactic principles, adaptive learning, and learning evaluation (e.g., measuring learning outcomes). Strong analytical and synthesis skills, with
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will be integrated with statistical and machine-learning methods to classify polarity states and identify quantitative signatures predictive of metastatic behavior. The project will deliver transferable