Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Faculty of Science, Charles University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Czech Technical University in Prague
- Institute of Computer Science CAS
- Institute of Molecular Genetics of the Czech Academy of Sciences
- MASARYK UNIVERSITY
- Charles University
- Masaryk University – Faculty of Medicine
- Mendel University
- University of Chemistry and Technology, Prague
- University of South Bohemia
- VSB - Technical University of Ostrava
- Česká zemědělská univezita v Praze
- 3 more »
- « less
-
Field
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 17 days ago
operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . Activity description: · conduct research in machine learning with emphasis on computer vision, · develop and evaluate
-
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
-
announces an open competition for the position Ph.D. student - Machine learning-based tools for multiparametric enzyme optimisation Workplace: RECETOX, Faculty of Science, Masaryk University in Brno, Czech
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
systems Computer science » Informatics Information science Information science » Information management Researcher Profile Recognised Researcher (R2) Application Deadline 31 Mar 2026 - 12:30 (UTC) Country
-
organizing exam dates, entering exam results into the MUNI IS, etc. Routine administrative tasks related to the management of courses taught (e-learning, etc.), communication with students via the MUNI IS
-
programs at the Faculty of Horticulture, aiming to acquire the theoretical and practical knowledge necessary for mastering professional studies. The teaching is primarily focused on issues related
-
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
-
to climate change and variability Hydrological processes in organosols and peat-affected soils Modeling Hydrological Extremes Using Machine Learning Spatial and time distribution of precipitation within
-
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
-
Machine Learning. Profile of the graduate The graduate displays deep theoretical knowledge in molecular and cell biology, genetics and virology, with focus on some specific branch of these scientific fields