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of stem cell biology, developmental neuroscience, and computational analysis, with a particular focus on the human subplate and its interaction with early thalamic input. You will contribute
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experience/knowledge. Experience with Life Cycle Assessment and Techno-Economic Analysis. Experience or affinity with Participatory Research and Responsible Innovation. Strong communication skills to interact
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Vacancies EngD position: Design tool for tire-snow performance predictions Key takeaways Background Winter tires are characterized by excellent performance at cold temperatures and in snowy
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healthcare, particularly through the emergence of multi-agent systems that support clinical decision-making, patient interaction, and care delivery. While these technologies offer major opportunities
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team as PhD candidate on the DECIDE project, an ambitious inter- and transdisciplinary initiative to design AI systems for decision support, that contribute to the empowerment and democratic
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of the overall instrument. Your responsibilities will include the supervision of the design, development, manufacturing, testing and characterisation of the backend payload subsystem within the Sentinel-1 NG and
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of Behavioural Management and Social Sciences. This section includes about 35 researchers and focuses on personal and professional growth. There is also ample opportunity for social interaction. In this project
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quantum threats to ADS-B, CPDLC, ACARS, VHF communications, and satellite systems. You will design protocols for quantum-resistant cryptography adapted for aviation applications. The research will also
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
interactions is therefore needed. Understanding how introduced microorganisms interact with resident communities — whether through competition, cooperation, or niche differentiation — is key to designing robust
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this specific structured data. How can we perform inference tasks to learn hidden patterns, like community structure or hidden hierarchies? How can we incorporate domain knowledge to design interpretable models