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Field
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manufacturing methods for electric machines, including additive manufacturing and automated winding techniques. Experience with AI/ML-assisted motor design optimization or data-driven modeling approaches
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projects address complex systems where data-driven models can accelerate discovery and decision-making. Environmental Sciences — IDEAS tackles questions shaped by spatio-temporal dynamics, changing
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routes and scaffolds for device integration. The work will explore approaches such as fluidics, enzymatic modulation, electroporation, and diffusion-driven transport, and may involve the development
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; biochemical characterisation of virus–glycan interactions. These insights will be integrated to define glycan features that govern influenza attachment and to develop advanced in vitro receptor models
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scalable workflows that integrate physics‑based modeling with data‑driven approaches, while efficiently utilizing national and local high‑performance computing (HPC) resources. Essential Function Yes
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by a training programme in computational physics, data analysis techniques, space technology, project management, scientific writing, and presentation and other skills. Space missions and ground-based
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the Department of Electrical Engineering at IIT Kanpur and innovative unsupervised self-structuring AI and spatio-temporal data modelling techniques from the Research Centre for Data Analytics and Cognition, La
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Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called “Health and Usage
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to realize high-fidelity quantum gates as a foundation for quantum error detection and correction. The successful candidate will contribute to multiple stages of the technology development cycle, including
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent