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Responsibilities • Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data • Multi-omics integration using graph-structured prior knowledge • Analyze food-related (multi-)omics
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for a fully funded PhD position within the DFG Priority Programme SPP2389 https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389 . International collaboration The PhD is embedded in a close
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at: https://www.isas.de/en/datenschutz . The closing date for applications is April 18, 2026. Please apply via our applicant portal . If you have any questions (reference number393_2026), feel free to contact
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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to For details, see: https://www.gradschool.physics.uni-koeln.de/applying/applying-for-phd-in-bonn-or-cologne . Accommodation Accommodation is available through the student union ("Kölner Studierendenwerk
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Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche
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engines Investigating optimization algorithms for heterogeneous architectures (e.g. AI engines in combination with programmable logic) Deployment of optimization algorithms for energy optimization and
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be applied to identify faint aerosol structures. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed species and anthropogenic effects
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semesters Beginning Summer semester Application deadline November/December (For exact dates, check our website: https://www.gsoses-ur.de/ ) Tuition fees per semester in EUR None Combined Master's degree / PhD
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at: https://www.isas.de/en/datenschutz . The closing date for applications is April 18, 2026. Please apply via our applicant portal . If you have any questions (reference number 393_2026), feel free