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changeYears of Research ExperienceNone Additional Information Eligibility criteria • Minimum training: PhD in atmospheric physics and chemistry, with significant experience in in situ data analysis. • Good
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. There will also be potential to join up data in other Countries where Statkraft operates, including Norway and Ireland. Key skills will be power systems analysis using EMT models (PSCAD) and RMS (DIgSILENT
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At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the “Satellite Data Analysis” working group is available as PhD Student (f/m/d) The position is initially offered
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Applications are invited for a Senior Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds position. This position, part of EU Horizon
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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Offer Description Synthesis and structural characterization of flavonoids, antimicrobial and cytotoxicity tests, data analysis. Where to apply Website https://www.uaic.ro/angajari_uaic/1-post-doctorand-in
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Call for PhD Applications 14 Prestigious Marie Skłodowska-Curie Actions Double Degree Doctorate Fellowships GreenFieldData : IoRT Data Management and Analysis for Sustainable Agriculture Project 3
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cereals production practices. PhD grantors: Aarhus University (DK) & Clermont Auvergne University (FR); keywords: IoRT network optimisation, data quality PhD-B: Data collection and analysis empowered with
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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 20 hours ago
pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor