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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
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, or reduced-order modeling techniques Familiarity with data-driven methods Background in chemical reactors, separation processes, or process systems engineering What you will do Develop grey-box models
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emerging areas of science and technology. (For more details, please visit https://www.fst.um.edu.mo/ and https://fhs.um.edu.mo/en/#/ ). The Department of Biological Science strives to excel in both
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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recognized organization at the forefront of Earth system science. The next President will guide a deeply mission‑driven community, steward critical national scientific assets, strengthen partnerships across
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. Preferred Qualifications: Minimum of three years of experience in communications, technical writing, marketing, or related role, preferably in a technology-driven department Knowledge, Skills, and Abilities
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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direction investigates the role of attention mechanisms in event-driven and spike-based models. Transformer architectures will serve as a reference framework to analyze the benefits and limitations
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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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of Technology is host for a well-funded tenure-track Assistant Professor position in Data Driven Cell and Molecular Biology, in a vibrant, international, and outward-looking work environment located in the lively