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thin films. We aim to demonstrate their integration in superconducting qubit readout systems and validate KI‑TWPA technology for scalable quantum computing applications. This position is funded through
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libraries (spaCy, NLTK, Hugging Face). Machine learning fundamentals and model evaluation. API integration and version control (Git). Prototyping, testing, and refining NLP-driven applications. Applying human
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to exciting research in data-driven control in a collaborative and dynamic environment. About us At the department of Electrical Engineering research and education are performed in the areas of Communications
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value
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across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will develop and deploy a self-supervised pre-training
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and uncertainty (e.g. demand evolution, renewable generation) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods
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of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real-time data acquisition. You will
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, United States of America [map ] Subject Areas: Animal Science / Animal Science Agronomy Environmental Science Soil Science Agricultural Engineering (more...) Plant Science Appl Deadline: 2026/04/01 04:59 AM
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future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion
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to metastasize and colonize distant tissues using mouse models, in close collaboration with the Bentires Lab at the University of Basel. This PhD project is fundamentally driven by hands-on experimental in vivo