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interfaces under reaction conditions, using machine-learned interatomic potentials (MLIPs) for automatic reaction network exploration for catalyst dynamics, and developing the next generation of kinetic Monte
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speech processing and speech classification; Research experience with deep neural networks and complex networks; Hands-on experience with Automatic Speech Recognition systems; Hands-on experience with
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engineering or similar. Outstanding PhD Candidate needed. Are you willing to take up the challenge? The skin is the largest and one of the most complex organs of the human body, acting as a critical barrier
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). Distribution transformers are critical components within electrical networks, and their reliable operation is essential to maintain service continuity and reduce economic losses resulting from unexpected outages
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distribution networks, considering solutions such as FL Energy's OperatorFabric.; - Study human-machine interaction methodologies that reduce the complexity of supervising multiple distribution networks
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microbial communities to recycle waste in aquaculture tanks, keeping water clean and helping animals stay healthy while cutting inputs. SwitchFloc is a Marie Skłodowska-Curie Doctoral Network that will fund
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Offer Description The skin is the largest and one of the most complex organs of the human body, acting as a critical barrier against mechanical injury, infection, dehydration, and harmful environmental
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Offer Description The skin is the largest and one of the most complex organs of the human body, acting as a critical barrier against mechanical injury, infection, dehydration, and harmful environmental
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largest and one of the most complex organs of the human body, acting as a critical barrier against mechanical injury, infection, dehydration, and harmful environmental factors. While minor wounds can heal
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-cases, edge nodes are based on various computing hardware such as classical computers, single-board computers or micro-controllers. Edge systems network is also complex and unique. It must permit edge