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-based web interface; publishing high-quality scientific articles in international journals; presenting findings at conferences and stakeholder events; contributing to supervision of MSc students. Your
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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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for subsurface water storage systems. Your main case-study area are the islands of Zeeland and Zeeuws-Vlaanderen, with connections to monitoring and pilot sites. You will work at the interface of hydrogeology
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; collaborating with municipalities, urban planners, designers, and residents in model co-creation and validation workshops; contributing to the development of an interactive, publicly accessible web interface (e.g
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The ability to work at the interface of science and clinical practice Good social and organisational skills, preferably with experience in (coordinating) data collection A teamplayer mentality and enthusiasm
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evaluation strategy. You will support the deployment of such Q&A infrastructure on available servers. Together with PhD candidates, you will develop interfaces for collecting user input and system responses
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evaluation strategy. You will support the deployment of such Q&A infrastructure on available servers. Together with PhD candidates, you will develop interfaces for collecting user input and system responses
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applications and hybrid modelling (process-informed machine learning); Strong interest in interdisciplinary scientific challenges at the interface of domain knowledge and data science and collaboration in a