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Field
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of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU MCSA-DN prosjekt Switchfloc Is the
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of distributed optical sensing techniques developed in ECSTATIC, such as novel distributed acoustic sensing (DAS), on trackside telecom fibres, for the condition monitoring of railway infrastructure, focusing
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for the application and validation of distributed optical sensing techniques developed in ECSTATIC, such as novel distributed acoustic sensing (DAS), on trackside telecom fibres, for the condition monitoring of railway
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At the University of Notre Dame, the Provost’s Postdoctoral Fellowship in Engineering is a competitive fellowship program established to support highly motivated and accomplished individuals who
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opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of
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processes within the marine environment and seafood industry. 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
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» Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 30 Nov 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time
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the job funded through the EU Research Framework Programme? NextGenerationEU Reference Number 2022.05284.PTDC Is the Job related to staff position within a Research Infrastructure? No Offer Description
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The National Energy Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Fellow — HPC Scientific Workflows (NESAP @ NERSC) postdoctoral fellow to
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tools that interpret large datasets from distributed sensor networks to predict and improve indoor environmental quality. Essential Functions Develop and refine AI- and machine learning–based models