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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
-time Hours Per Week 40 Offer Starting Date 29 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 14/2026/IGC/PSD Is the Job related to
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join our TU Delft team to contribute
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. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other career developing
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workload distribution, and serves as a key resource on complex funding opportunities, sponsor requirements, and institutional policies. This position collaborates closely with central offices and research
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of quantum information – e.g. the no-cloning principle – to provide improved privacy in distributed computation settings. As part of the position, you will be expected to collaborate with other researchers
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Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information Analytics Software Engineering for Distributed
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performance, possibly using the learned reduced-order models and the spatially distributed sensors. Data-driven predictive control design of PDEs based on Koopman operators and/or relying on sparse
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through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description University of Foggia, Department of Medical and
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) Application Deadline 9 Aug 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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in practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high