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with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning
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programmable biomineral composites. You will perform research tasks in Work Package 2: Material Formulation, Bio-Fabrication & Characterization. Your task will focus on designing porous mineral scaffolds and
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) systems. Building on the Norwegian Cyber Range's existing capabilities, the project will explore new methods for representing system dependencies, designing realistic cyber scenarios, and evaluating cyber
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evolution reaction (HER), nitrate reduction reaction (NO₃RR), and selected organic oxidation reactions (OOR). You will systematically design experiments using modern approaches such as Design of
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embolism events, trigger high-speed acquisitions, and measure their dynamics over timescales ranging from several hours down to a few microseconds. The work will include designing and automating
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international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Project description The project focuses on the design and analysis of modes
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Medicine are all contained within one compact campus in Chicago’s Hyde Park. The appointees will join a vibrant center of scientific discovery and innovation with ample opportunities for multidisciplinary
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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of third States; Stateless persons; Citizens enjoying political refugee status. To apply for the Ph.D. scholarships, it is necessary: To have concluded or plan to conclude at least the Bachelor’s
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and