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Field
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, accountability) into verifiable criteria. Together, we work on shaping the design, development, and use of ethical software, in particular (Gen)AI. During this PhD, you will contribute with your own insights and
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analysis and geomechanics Interest in uncertainty quantification/sensitivity analysis/optimization Proactive, independent work ethic and ability to work effectively in a multidisciplinary environment
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constant volume combustion chambers and advanced optical diagnostics. Additionally, the project explores hydrogen pre-chamber ignition and conducts full-cycle single-cylinder engine simulations to optimize
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requirements: MSc degree or comparable degree in electrical or mechanical engineering, physics or a related subject. The project involves hands-on cleanroom work, device fabrication, and high-frequency
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candidate eager to operate at the interface of molecular biology, neuroscience, and AI. Responsibilities Wet-Lab & Experimental Work Set up and optimize imaging based spatial transcriptomics protocols. Set up
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management Background: materials science, mechanical engineering, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc6/ DC7: High-Performance Magnesium-Based
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy
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aspects of development, and with a focus on environmental, international as well as administrative dimensions. The workplace will be either in Aalborg or Copenhagen. Your work tasks The PhD project is a
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality