97 web-developer-university-of-liverpool PhD positions at Technical University of Denmark
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Job Description Are you passionate about exploring innovative ideas supporting the development of rechargeable batteries (RB) and supercapacitors (SC)? At the Technical University of Denmark (DTU
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Job Description Are you passionate about tackling plastic pollution and advancing chemical safety? At the Technical University of Denmark (DTU), we are offering a fully funded PhD position focused
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modifications using high-resolution mass spectrometry and AI-based de novo peptide sequencing. Develop and apply machine learning models to predict protease activity and substrate specificity, integrating protein
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Job Description If you are establishing your career as a scientist and you have the ambition to develop groundbreaking technologies for advanced diagnostics for the body and multifunctional
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, this PhD position is for you. At DTU Compute, you will develop novel methods in streaming process mining and artificial intelligence to tackle real-world cyber threats, working side by side with leading
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this challenge by developing privacy-preserving data sharing and analytics tools, with a focus on “differential privacy”. A core theme will be to balance privacy and utility: ensuring that shared data remains
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on the reactivation of cement and optimizing the cement blend. During the PhD study, the reactivity of recycled cement and thereby the strength development is optimized by the chemical elements that are missing in
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: improving pathogen control and risk management. You’ll also build valuable connections with industry and academia to develop and evaluate food safety system that integrate AI, long-read sequencing, and
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behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale
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) at the Technical University of Denmark (DTU) invites applications for a fully funded 3-year PhD position focused on enhancing inter-subject BCI-assisted performance for exoskeleton control in stroke rehabilitation