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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Analysis of innovative broadband bulk acoustic liners in the presence
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Area: Analysis on Metric Spaces Appl Deadline: 2026/03/31 04:59 AM* (posted 2025/12/18 05:00 AM, listed until 2026/03/31 04:59 AM) Position Description: Apply Position Description Okinawa Institute of Science and
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: Stochastic Analysis Appl Deadline: 2026/03/16 03:59 AM (posted 2026/01/29 05:00 AM, listed until 2026/04/01 04:59 AM) Position Description: Apply Position Description PhD Position in Stochastic Analysis
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description New frontiers in geological, geomorphological and thermogeological analysis in
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research record in one of the following areas of pure mathematics. Algebraic and arithmetic geometry Random matrices, complex analysis Differential geometry Functional analysis and operator algebras Group
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for further, more detailed analysis. Research areas include, but are not limited to: Incorporate resilience research [e.g., 2, 3] into extensions of the mathematical programming model underlying NIST ARC so as
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research project falls within the scope of semiotic analysis
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis