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dynamics that incorporates the effects of pesticides (from the above experiments) as well as spatial processes such as dispersal and species interactions.4. Bridge data and theory – Test model predictions
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Modelling localised solar jets: (macro)spicules) and their effect on solar atmospheric dynamics School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Robertus von Fay
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use of models for assessing spatially differentiated mitigation measures in agriculture. The Department’s research and advisory activities are project-driven with a solid tradition of cross-disciplinary
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use of models for assessing spatially differentiated mitigation measures in agriculture. The Department’s research and advisory activities are project-driven with a solid tradition of cross-disciplinary
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Spatio-temporal causal modeling of shared EV demand ETH Zurich is one
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electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across modalities for improved spatial resolution and
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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techniques (weather stations, atmospheric data loggers). RESEARCH FIELDS: Earth and Atmosphere Sciences Where to apply Website https://www.uaic.ro/angajari_uaic/2-posturi-de-cercetare-vacante-in-cadrul-proi
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The Environmental and Ecological Statistics Research Group (EnvStat) at the University of Helsinki seeks two doctoral researchers (PhD students) in ecological statistics. The EnvStat group operates
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towns and cities as flood peaks, known as Natural Flood Management (NFM). Most research on NFM centered on hydrological modelling and its effectiveness in reducing flood peaks at varying spatial scales