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email only after 1st September 2025 for data protection reasons. The one compiled pdf file should be sent via mail to the following email address: reunatech@rwth-aachen.de Note: A separate and parallel
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made through
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agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from Luisa Siniscalchi (e-mail: luisi@dtu.dk, website https://www.luisasiniscalchi.com
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well as synchrotron X-ray sources. By obtaining multi-scale (spatial resolution as well as time-resolution) information about the transformation dynamics in zinc-air electrodes and follow quantitatively
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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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Job Description Are you passionate about transforming food safety through cutting-edge technology and want to apply your data science and AI skills to real-world public health challenges? This is
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Job Description We invite applications for a 3-year PhD scholarship at DTU Energy. The project will integrate innovative physics-based atomistic modeling methods and data-driven inverse molecular
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assessments of data quality effects on genomic inference, and apply these methods to real datasets from extinct species. You will help shape how the field extracts meaningful biological signals from challenging
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models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train these methods in a closed-loop
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Job Description Are you passionate about brain-computer interfaces (BCIs), neurorehabilitation, and intelligent assistive technologies? The Department of Health Technology (DTU Health Tech