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of nocturnal pollinators to establish a comprehensive conservation database. Candidate Responsibilities design and optimization of AI detection and classification workflows for large-scale image data active
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 9 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a
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of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
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in cognitive science of religion and cultural evolution. The main responsibility of the successful candidate will be to work with large-scale behavioural datasets from 20 field sites, coordinating data
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(specialization 802) Verifiable publishing activity Preferably experience in one of the disciplines of laboratory medicine gained in a clinical laboratory of a large type III hospital providing comprehensive
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20 Mar 2026 Job Information Organisation/Company Czech Technical University in Prague Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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interest in cell biology (DNA repair field), microsccopy and processing of large datasets Strong English language skills – both spoken and written Eager to learn innovative approaches in data analysis
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30 Jan 2026 Job Information Organisation/Company University of South Bohemia Research Field Agricultural sciences Agricultural sciences » Soil science Biological sciences » Biodiversity
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related field • Strong experience with spectroscopy data, chemometrics, multivariate modelling • Ability to work with large spectral datasets, building and managing spectral libraries or databases