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Field
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We are currently offering a PhD student position focused on developing new AI-driven methods for molecular engineering, with an emphasis on the discovery and design of solid polymer electrolytes
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challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division, our group advances generative models, molecular simulations, and molecular design
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Job Description Are you driven by the idea of creating a more sustainable future through groundbreaking research? Do you want to work in a collaborative environment where your contributions can
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Description The TRR404 “Next Generation Electronics With Active Devices in Three Dimensions [Active-3D]” is a Collaborative Research Center/Transregio between TUD Dresden University of Technology
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, convective exchange with the environment, biochemical quality attribute evolution within the products, and thermally-driven damage (chilling-freezing injury). Use these models to build physics-based digital
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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Your job Do you want to use your passion to scientifically address challenges in (precision) agriculture and spray technology in relation to crop protection by data analysis and modelling? Do you
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high-frequency data and building robust, data-driven models that impact decision-making in real-time markets? We invite applications for a Joint-PhD position at the University of Amsterdam, in
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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methods/simulations, state-of-the-art computational techniques (e.g. data-driven methods and/or FEM) and/or theoretical material modeling will be given preference We offer: chance to collaborate with