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simulations of Jakobshavn Isbræ and NEGIS using the open-source Ice Sheet and Sea Level Model (ISSM). The candidate is expected to perform original research that aims at improving our understanding of past
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wind farm clusters may impact atmospheric and sea conditions over different time and space scales, investigating how wind farm yields may be impacted by proximity of neighbouring wind farm clusters, and
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with a wide range of data formats and engaging with data experts and database managers. The second major focus is advanced data analysis and statistical modeling to identify patterns in fish distribution
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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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research focus will include some of the following topics: Advanced sensor fusion and multimodal AI models for robotic intercropping. Self-supervised learning will generate multimodal agricultural pre-trained