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- Delft University of Technology (TU Delft)
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avenues, with natural curiosity and a passion for new subjects and research areas; Experience with one or more general purpose programming languages, for example Python, and general purpose deep learning
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or uncertainty propagation through the pipeline process; investigate which EO data can be most suitable for different climate adaptation/mitigation situations (e.g. required spatial and temporal resolutions
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; publish the research project outcomes in high-impact journals; drive collaboration within the Φ-lab community and ESA internal teams to promote the uptake of these new techniques and solutions; contribute
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within the Φ-lab community and ESA internal teams to promote the uptake of these new techniques and solutions; contribute to the Φ-lab strategy, activities and outreach on disruptive technologies for EO
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creative learning methods, e.g. artistic methods familiarity with working in international environments and within networks collaboration, pro-activity, flexibility proven proficiency in English (oral and
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, flexibility proven proficiency in English (oral and written) In our international working environment there is an increasing amount of communication in English. For this position it is about language level C1
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able to hear the order of speech sounds and pitch and to understand clearly spoken sentences with background noise. It is unclear whether listeners with CMT also have more difficulty listening to natural
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Greenport Venlo (BCGV) and collaborate closely with Maastricht University and NUTRIM, School of Nutrition and Translational Research in Metabolism. You will join an international, interdisciplinary team
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to join our international team on the prestigious ERC Advanced Grant project DIGDEEP. This project investigates how plant diversity shapes the spread and impact of soil-borne diseases, aiming to unravel
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it crosses over to a stable state. This project aims at identifying the quantities characterising the stochastic nature of this phenomenon, such as the average and the distribution of the random