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, and intelligent decision-making across distributed manufacturing networks. Specifically, the work will include: Development of a digital twin for a manufacturing production system. Development
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, PyTorch, Keras, scikit-learn) and strong understanding of machine learning algorithms, deep learning architectures, and statistical methods Good skills in extraction of data from structured/unstructured
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experimental materials synthesis, characterisation or both, and optionally, with experience developing algorithms for accelerated discovery based on data collection from automated instruments. Practical
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(land, aerial, marine, or hybrid) Distributed decision-making, task allocation, and worksite optimization under uncertainty Energy-aware and resource-efficient collaboration strategies for fleets
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advanced computational approaches to map the diversity, dynamics, and tissue distribution of viruses in the human body. We investigate how these viral communities influence disease susceptibility and
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Sciences. The research work will focus on developing a scalable, robust positioning framework by integrating GNSS and emerging LEO-PNT signals with distributed AI and multimodal sensor data. The researcher
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combine cutting-edge wet-lab experimentation with advanced computational approaches to map the diversity, dynamics, and tissue distribution of viruses in the human body. We investigate how these viral