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methods, and self-driving laboratories to accelerate the discovery of novel materials for energy applications. You will work in a highly collaborative and interdisciplinary environment, which comprises
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computing, neuromorphic computing, and hardware acceleration for AI workloads. Key responsibilities include: Define specifications and requirements for CMOS–spintronic interfaces in collaboration with project
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good process simulation and sustainability assessment skills. The FrameBio PhD project, is part of prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, a collaboration between 16 partners
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Job Description Are you passionate about using experimental physics and mathematical methods to accelerate the green transition and address climate change? Do you want to transform the way we
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-driven biocatalysis and accelerate bioprocess development. DC1: Machine learning-guided multiparametric optimisation of cytochrome P450 monooxygenase PhD enrolment: Technical University of Denmark DC2
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of the local environment. Ideally it would be possible to control the process optimally, without many expensive and time-consuming experiments or the need for complex online feedback mechanisms. In practice
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systems, digital twins, and resilient structural design. We are looking for a motivated, curious, and ambitious researcher committed to accelerating the green transition by advancing adaptive materials
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, and ambitious researcher committed to accelerating the green transition by advancing adaptive materials, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery
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quantification of intermediates, products and byproducts will further be developed, as well as reaction tracking. A second PhD student on the project will be responsible for developing the catalytic process and
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good process simulation and sustainability assessment skills. The FoundBio PhD project, a collaboration between two departments at DTU and Tec de Monterrey, aiming to close a critical knowledge gap by