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testing, to achieve sub-second cycle times for robotic systems. 3. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
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Soils. • Knows, or is interested in, working with GIS/spatial data analysis, network analysis or modelling socio-economic structures. We offer an appointment in accordance with the Collective Labour
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to data analysis and science communication. PhD students at BirdEyes will gain expertise in cutting-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre
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affiliated with the Rudolph Agricola School for Sustainable Development, focuses on innovative approaches to data analysis and science communication. A PhD student at BirdEyes will gain expertise in cutting
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et al., 2017 [PMID: 28934475]; Incarnato et al., 2017 [PMID: 28180324]; Incarnato et al., 2014 [PMID: 25323333]) and bioinformatics analysis tools (Morandi et al., 2022 [PMID: 35361788]; Morandi et al
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in the northern part of the Netherlands were connected to their wider world. Central to the project will be the analysis of various ceramic assemblages with a wide scope of methods in order to
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identification of biological sounds using passive acoustic data. Passive acoustic monitoring will be conducted with species identification based on a neural network trained and tuned to the turbulent waters
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the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a multiscale analysis of the mass distribution, as well as that of the flow field
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sources. Such modelling provides essential tools for designing low-carbon, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies
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an overview of your experience with molecular dynamics, density-functional-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc