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Employer
- VSB- Technical University of Ostrava
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- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
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Field
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Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Application of cutting edge machine-learning based methods in support of quantum
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Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Machine learning force fields (MLFFs): - Generation of reference ab initio database
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learning applied in computer networks, etc. They should be provably capable of successfully applying for research grant projects. The candidates should be able to prepare and deliver lectures and tutorials
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
/s, installed in autumn 2019), and will host a quantum computer thanks to the LUMI-Q HE project. IT4Innovations is a member of the consortium operating the largest European supercomputer LUMI. We seek
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theory, Machine learning and multivariate statistics, Application in neuroscience, climate research, economics, …). COBRA is a part of the Department of Complex Systems of the Institute
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information flow inference, Nonlinearity and nonstationarity), Complex network analysis (Graph theory, Machine learning and multivariate statistics, Application in neuroscience, climate research, economics
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at the Czech Institute of Informatics, Robotics, and Cybernetics (CIIRC CTU), we benefit from close collaborative links with both local (Motol Hospital, Military University Hospital Prague) and international
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position within a Research Infrastructure? No Offer Description The Institute of Computer Sciences of the Czech Academy of Sciences (ICS CAS), Prague, Czech Republic, invites applications for tenure‐track
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of Computer Sciences of the Czech Academy of Sciences (ICS CAS), Prague, Czech
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, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production, distribution/delivery, and use, also extended to new materials