565 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions in Austria
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specifically invites applications by women. Among equally qualified applicants, women will receive preferential consideration. For the application please use the online form on the homepage: http
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. Approaches used include animal studies, spatial transcriptomics and metabolomics, proteomics, ChIP-Seq, µ-CT, immunohistology, histomorphometry, cell culture, and tissue culture. Where to apply Website https
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and Auditing Entry date: as soon as possible Job Reference Number: 25000-2025-001453 Job Duties: Actively take part in the department's research projects Teach university-level classes (in German
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-based applicant tool for this vacant position. Contact Univ.- Prof. Mag Dr. Maria Bertel (maria.bertel@uni-graz.at ) Where to apply Website https://jobs.uni-graz.at/en/jobs/a0e7f3fd-1536-9504-60dc
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on the homepage: http://www.unileoben.ac.at/jobs Where to apply Website http://www.unileoben.ac.at/jobs Requirements Research FieldPhysics » OtherEducation LevelPhD or equivalent Research FieldPhysics Additional
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from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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algorithms as well as deep learning workflows on GPU servers (use of Git, Docker, and PyTorch) Design, implementation, and evaluation of spatial proteomics and multiplex analyses for characterizing the tumor
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. Identification number: KA-ENDO-2026-003663 All applicants are invited to submit their application online via the recruiting platform. For further job related details see link below: https://www.medunigraz.at
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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
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give you an insight into the working environment at TU Graz: HERE Where to apply Website https://jobs.tugraz.at/en/jobs/5651daf6-9e37-dc5c-5614-69ca274872aa/apply Requirements Research