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Field
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production of materials and parts from scarce resources in a highly automated and resilient way. The Cluster of Excellence will thus contribute to the sustainable human exploration of space and power a green
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systems for pathogen genomic analysis, interpretation, and automated scientific reporting. Tool-using environments and AI systems that can interact with bioinformatics pipelines, databases, and scientific
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team includes: Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning Prof. Mohamed Hamdy – building performance simulation, building automation
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methods. Knowledge of bioinformatics, DNA-sequence analysis or computational design tools. Experience with high-throughput experimental workflows, automation or design–build–test–learn cycles. Experience
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education. You must meet the requirements for admission to the faculty's doctoral program (see: https://www.ntnu.edu/ie/research/phd ). You must meet the requirements for admission to the IE Faculty. PLEASE
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neural networks) to design and optimise integrated photonic devices and metasurfaces. This includes building automated workflows that link electromagnetic simulation tools with AI models to accelerate
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center, please visit http://csiss.gmu.edu/. George Mason University College of Science (Mason Science) is committed to advancing inclusive excellence and fostering an environment free from discrimination
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aims to bring automated, cost-effective damage detection to port structures that have historically lacked any formal monitoring. The research is anchored at the Magerholm Research Quay (MRQ), a unique
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workflows under computational constraints. Rather than automating predefined pipelines, the agents act as meta-decision-makers, reasoning about modelling assumptions, approximation levels, and the choice
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to have an Engineering degree on master’s level within manufacturing engineering, automation, or computer science. Specifically, we look for a talented and ambitious candidate who has the following