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bridging digital modelling with real-world factory implementation, this project will contribute practical methodologies and guidelines for scalable, circular manufacturing systems across multiple industrial
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two PhD students for this project. Your work focuses on integrating multiple sources for prediction, including common and rare genetic variants, family history, ancestry and typical age of onset. Your
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-Carrier Energy Hubs (MC-EHs), where multiple energy generation, conversion, and storage technologies across diverse carriers integrate smartly and locally, show promise for overcoming such barriers
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computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting multiple brain areas in
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. Developing evaluation frameworks to assess multiple dimensions of responsible advice-giving systems. Example dimensions include the faithfulness of explanations, biases in generated answers, and usefulness
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for a candidate with: an MSc in computer science, artificial intelligence or a related field a creative and collaborative mindset strong programming skills in Python or Rust strong skills in deep learning
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creative and collaborative mindset strong programming skills in Python or Rust strong skills in deep learning systems strong analytical and problem-solving skills fluency in English, both written and spoken
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such as Matlab or Python is important. This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after
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spectroscopy (UV-Vis, IR, fluorescence). Prior experience with writing code in languages such as Matlab or Python is important. This is what we offer you A temporary contract for 38 hours per week for
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to countless signals. While traditional approaches have uncovered much of the genetic foundation of response pathways to individual signals, how plants integrate multiple co-occurring signals on the cellular