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involvement and we aim to develop frameworks that guide innovation processes towards meaningful and user-centric outcomes. Central to our work is a commitment to foster collaboration across disciplines and
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Leggio, Department of Chemistry, [email protected] The PhD programme For this position, you can undertake the PhD programme as a three year full-time study within the framework of the regular PhD programme
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PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
for both experiments. For RADES, these are foreseen in 2028 / 2029 and will require shift work and non-standard working hours. The project is carried out within the framework of the CERN Lighthouse
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
substantial potential to improve diagnosis, prognosis, and treatment across a wide range of diseases through data-driven analytical approaches. Progress in developing robust methodological frameworks relies
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theoretical frameworks. For a more detailed description of CED, please, visit our website. Conditions and place of employment The position is full-time (37 hours per week) and limited to 9 months after
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others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent frameworks). Hands-on experience with data representation and embeddings, ideally applied
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for the assessment. However, this is not a requirement. Framework for the PhD Programme The PhD programme is conducted in accordance with the current Danish Ministerial Order on the PhD Programme and the rules and
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Starting Date 15 Dec 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description DTU
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Creativity Support in Generative AI
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defining limit values suitable for use in LCA-based frameworks. The work may also address targets such as climate neutrality, net-zero, and regenerative performance, as well as methodological challenges