195 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Czech
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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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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | about 1 month ago
: Michal Hocek Group / Bioorganic and Medicinal Chemistry of Nucleic Acids Tutor: Prof. Ing. Michal Hocek, Ph.D. DSc. Field of study: Organic chemistry Apply: https://www.uochb.cz/en/call-for-phd
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. Information on the processing of personal data of job applicants is available here: https://www.zcu.cz/en/University/GDPR/Information-for-the-individual-data-subject/job_applicants.html Work Location(s) Number
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 13 days 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
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that preserves object identity or style. They should have a solid publication record in top-tier computer vision conferences such as CVPR, ICCV, or ECCV, and demonstrate proficiency in deep learning frameworks
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research institutions at both the individual and institutional levels, and we provide an excellent environment for both students and staff. You can find out more about us on our website https
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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
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · development of a Python application with a graphical interface, · compilation of parallel applications and
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available1Company/InstituteFaculty os Social SciencesCountryCzech RepublicState/ProvinceCzech RepublicCityPraguePostal Code158 00StreetU Kříže 8Geofield Contact State/Province Stare mesto City Prague Website https
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/Province Stare mesto City Prague Website https://fsv.cuni.cz/homepage Street Smetanovo nábřeží 6 Postal Code 110 01 E-Mail angelika.hajkova@fsv.cuni.cz STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn