601 machine-learning-"https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions in Netherlands
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cases. We are particularly interested in how AI, Data Science, or Machine Learning techniques can be used to quantify and assess software and system security from open source software to cloud services
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objectives. The project will be supervised by Lily Frank, Elizabeth O’Neill, and a third supervisor from another university. Desired starting date: Sept 1, 2026. Where to apply Website https
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website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/359826/postdoc-digital-twin-validation… Requirements
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multimodal data integration across organismal domains and data modalities, making use of state-of-the-art methodologies such as systems/network analysis, artificial intelligence and machine learning and/or
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amongst neighborhoods through interventions. Where to apply Website https://www.academictransfer.com/en/jobs/359161/phd-researcher-smart-active-mob… Requirements Specific Requirements A background in either
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multidisciplinary research environment at MERLN and is part of the international Drive-RM consortium (https://drive-rm.nl/) , which provides additional opportunities for collaboration, training programmes, summer
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MERLN Institute at Maastricht University. What if you could teach a biomaterial to heal bone by delivering the molecular instructions directly to cells? This PhD project explores exactly that question
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on the interface of topology and higher algebra (https://www.math.ru.nl/symmetry/ ), based at Radboud University Nijmegen, Utrecht University, and Vrije Universiteit Amsterdam. This community meets frequently
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History). Join a research team on Art and Liberation during 20th-Century Afro-Asian Decolonization! As a postdoctoral researcher in Entangled Freedoms(https://entangledfreedoms.com/about/ ), you will be
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
computer models as well as being in the lab. You have affinity with analytical determination of pharmaceuticals in difficult matrices. You are able to dive into topics outside your current knowledge base