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migration), economy (e.g., trade, businesses and resource flows), technology (e.g., infrastructure mapping, urban plans/construction), as well as potential sources of risks and benefits, including pollution
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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biomass for food. We do frontier applied science, meaning that we link fundamental understanding to societal usage. In doing so, we aim to actively support managers with the insights needed for ecosystem
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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. Your qualities For this interdisciplinary project, we are looking for a highly motivated and skilled postdoctoral researcher with a recent university PhD degree (or equivalent) in engineering, biology
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in engineering (space engineering in particular) and/or a PA discipline