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Innovation Quadrant (IQ) analysis and resource optimization studies to address business challenges. Industry Engagement Collaborate with industry partners to co-create innovative products that enhance
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 16 days ago
position within a Research Infrastructure? No Offer Description Job Summary/offer: To optimally use the resources in veterinary care, it is important to capture, preprocess, and model the existing data
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. Job Description: Two postdoctoral researcher positions are available in the laboratory of Dr. Sarah Kim (https://pharmacy.ufl.edu/profile/kim-sarah/) to apply modeling and simulation approaches
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
accountability, while working in close collaboration with the Marketing team and cross-functional partners; plan, execute, optimize, and scale paid marketing initiatives across search, social, display, video, and
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and Drug Delivery Systems for Enhanced Bone Regeneration” (Reference: PROID2025010017). This project focuses on the optimization of additive manufacturing processes (MEX) and scaffold performance
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optimize patient care. The project will be carried out through plenary and small-group meetings held via Zoom. Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information
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-oriented problems involving optimization, artificial intelligence, workflow redesign, and stochastic assembly line balancing. The position will involve close collaboration with industry partners
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‑generation photonic and analog electronic design automation (EDA). You will explore, develop, and validate AI‑assisted methodologies that accelerate the design, optimization, and verification of optical and
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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design
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and image analysis within the project, responsible for designing and iterating on machine learning architectures, managing training pipelines and datasets, and optimizing models for deployment across