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development Further information and contact: For more information about the position and the department, please contact Professor Nikos Ntoumanis, Head of Centre, Tel: (+45) 6550 4525, e-mail: nntoumanis
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We are seeking a postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data
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to these e-mail addresses, only applications sent via the online link as described below will be considered. You can read more about DTU Energy at https://www.energy.dtu.dk/ and DTU Physics at https
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dose and patient burden. The project will include developing new visualisation strategies to aid delineation, as well as developing deep learning methods to enhance photon-counting CT images and better
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Manufacturing Systems Lean Manufacturing / Logistics and Industry 4.0 / 5.0 Discrete Event Simulation Methods, Agent Based Simulation & Technologies Machine Learning, AI, LLMs & Data Science for