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Field
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28 Feb 2026 Job Information Organisation/Company Faculty of Science, Charles University Research Field Computer science » Informatics Geography Geography » Cartography Geography » Other Geosciences
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must: Be an Australian or New Zealand citizen or Australian permanent resident Identify as a woman (cis-gender or trans women) or non-binary Be enrolled in the first semester of a Master of Computer
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distributions and model parameter predictions. Experiments should be conducted on a range of tasks of different complexity in the context of different data domains, for example speech classification, speech
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technologies; - Experience with CI/CD methodologies and technologies Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Proven
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intelligence, and architectural design. The research will explore two primary domains: Embodied Intelligence – Integrating AI into architectural systems through topics such as distributed sensor fusion
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026.13 Is the Job
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given to students enrolled in a Master of Mechanical Engineering or Master of Mechatronics Engineering if ranked in the top 50%. In the interest of equitable distribution of scholarships, other
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing
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program Arctic Ocean 2050. The successful applicant will work with zooplankton data from the High Arctic to address knowledge gaps in life history strategies, phenology and the distribution of key