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to young and talented scientists with the ambition to grow. For more information about LIACS, see https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing
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allowance) and attention for good workplaces. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we
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- & office assistant Yvonne Snellenberg ([email protected]). To help us get to know each other better, we follow a few steps in the application procedure. For more information, see https
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after the vacancy closing date. To help us get to know each other better, we follow a number of steps in the application procedure. For more … Where to apply Website https://www.academictransfer.com/en
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application no later than two weeks after the vacancy closing date. To help us get to know each other better, we follow a number of steps in the application procedure. For more information, see https
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remote sensing data. What you will do Changing fire dynamics will be studied using a Dynamic Global Vegetation Model (DGVM), allowing us to quantify different mechanistic processes. Using high-resolution
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procedure. For more information, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions In choosing between candidates, in case of equal suitability
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with open scientific databases and data infrastructures (e.g. OpenAlex, OpenAIRE, ORCID, Crossref) is desirable. Experience with stakeholder engagement, community facilitation, or co-creation processes
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expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer vision, yet their ability to acquire new expertise remains limited when training data is
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vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by