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description Machine learning opens up new opportunities to accelerate the discovery of next-generation energy materials by combining predictive and generative approaches. In this project, we will develop neural
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, depending on the candidate’s strengths and interests, following one or more tracks: Privacy-preserving mechanism: quantify privacy risks and develop privacy protection techniques so that grid operators can
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Job Description Are you eager to engineer the next generation of cancer therapies? Apply for a fully funded 3-year PhD position at the Technical University of Denmark (DTU), where you will work in
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at industry partners and conducting a research stay at the University of Bologna (UNIBO), which is the double degree partner. We consider the following qualifications advantageous: You have a solid
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research stay at the University of Bologna (UNIBO), which is the double degree partner. We consider the following qualifications advantageous: You have a solid understanding of environmental assessment and
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
three years emphasizing the development and testing of next-generation serious gaming approaches with respect to construction safety, health, and well-being or emergency response applications. This PhD
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-world medical applications? Do you want to design next-generation protein therapeutics using cutting-edge generative models and validate them in the lab? Join a collaborative PhD project at DTU
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/scripting (e.g., Python, R, or Bash) Familiarity with next-generation sequencing data and genome assembly tools Strong analytical and problem-solving skills Excellent written and spoken English communication
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Job Description Are you ready to take the next step in your scientific journey with a PhD? At the Danish Polymer Centre, Technical University of Denmark, we are looking for a motivated PhD student
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. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database . Terms of employment Employment as PhD fellow is full time and for maximum 3 years