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techniques—particularly convolutional neural networks (CNNs)—will be applied to identify complex canopy patterns and classify successional stages. Mandatory requirements: Ph.D. in Remote Sensing, Forest
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these degradation pathways. Join our team! Decoding Light-Induced Degradation through Molecular Networking and Data Science Many organic compounds change under the influence of (UV) light. This is beneficial in water
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the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal
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technical excellence at the service of education, research, and innovation. As part of the project led by the SOTERN team in connection with the CREACHLABS grant—which aims to reconstruct, at the network
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of a novel detection technique. - activities: The work will involve experimental investigations using advanced single molecule detection tools. The net monthly salary is between €2,200 and €2,380
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of/on networks with higher-order interactions. This will be in collaboration with an NSF-funded ASU-UCLA team using ants as a model system and developing theory to characterize dynamic processes on networks as
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a dynamic trinational network including French, German, and Swiss laboratories. This exceptional location in the heart of Europe offers an ideal environment for young scientists through technical and
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addition to supporting field and laboratory activities. They will integrate Net Primary Production (NPP) and the Gross Primary Production (GPP) data to construct a reference carbon budget and assess initial responses
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of probability of statistical machine learning. They will possess sufficient specialist knowledge in network analysis and uncertainty quantification in machine learning and have the ability to manage
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Number: AJ/08/2026 Location: Warsaw, Poland Salary: 9772 PLN month/gross (ca. 7 657,51 PLN month/net) Number of positions available: 1 Work Arrangement: In-Person The position is available immediately for