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; • foreign or domestic experience in the field of research and development is an advantage; • Czech language at level C2; English language at least at level B2; • interest and willingness to learn new things
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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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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 days 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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or equivalent Skills/Qualifications - university degree in a technical field - ability to work with softwares MS Teams. CAD, etc.; - responsibility, active task solving and willingness to learn new things
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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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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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educator in statistics and/or modern data analysis (including ML/DL). Research scope – expertise in any of the following areas • statistics, data analysis, and information theory, • machine learning, deep
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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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Scientism and its metaphysical implications The forms of interaction between magic and science in the Renaissance and Early Modern Period Profile of the graduate Graduates will acquire good general knowledge
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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