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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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/sensor data Pedagogical value and user experience studies on enhancing learning experiences (e.g., engagement, moti-vation, and knowledge retention) through immersive and interactive VLE Scientific
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researcher excited about working on the cutting edge of AI/Neuromorphic and user interface design? We'd love to hear from you! Research area and project description A Brain-Computer Interface (BCI) decodes
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Center (CoaST). These facilities are now equipped with modern graphical user interfaces, unified communication protocols, and structured data pipelines that collect and store experimental data in dedicated
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: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept. Responsibilities and
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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. Experience in modeling biological processes. Experience in use of process simulation tools such as Matlab, Aquasim, Superpro Designer or similar. Expertise within fermentation technology and/or gas
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experience with: Signal processing Experimental design and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken). Have high self