570 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions in Netherlands
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cybersecurity expertise with modern AI techniques such as machine learning, deep learning, or large language models? Then we strongly encourage you to apply. You will join an established team with 25+ members
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.2025.6585). Where to apply Website https://www.academictransfer.com/en/jobs/359904/phd-student/apply/ Requirements Specific Requirements We are looking for an enthusiastic candidate with an MSc degree in
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restrictions may apply based on Dutch and EU immigration laws. Such candidates may be eligible for an “orientation year ” in the Netherlands or a visa as a “knowledge migrant ”. Where to apply Website https
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also room for professional growth and development. Where to apply Website https://www.academictransfer.com/en/jobs/359913/junior-researcher-preclinical-m… Requirements Specific Requirements You are a
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of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website http://www.secresy4you.eu . Information We invite highly motivated students with a strong background
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/or PhD students where relevant and even in other universities part of the Consortium and contribute to the academic life of the GID/GPIO department. We expect and encourage post-docs to teach 0,1 FTE
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are promoting more resource intensive lifestyles under banners of health, safety and pleasance. While the Human-Computer Interaction (HCI) community shaping smart technologies is still coming to terms with its
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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(e.stamkou@uva.nl ). Where to apply Website https://www.academictransfer.com/en/jobs/359879/phd-position-how-performing-art… Requirements Additional Information Website for additional job details https
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additives, electrochemical evaluation, and mechanistic studies to advance the fundamental understanding and industrial scalability of CO2-to-methane conversion. Where to apply Website https