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(Postdoc) or EG13 – 60% (PhD student). As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional
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is commensurate with work experience and seniority (TV EntgO Bund EG13 (Postdoc) or EG13 – 60% (PhD student). Your application: We look forward to receiving your complete application documents
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quality of life. The contract will initially be limited to 2 or 3 years with the possibility for further extension. Salary is commensurate with work experience and seniority (TV EntgO Bund EG13 (Postdoc
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27 Jan 2026 Job Information Organisation/Company DFG-TRR/CRC 298 Research Field Biological sciences Chemistry Engineering Medical sciences Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Feb 2026 - 23:59...
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 9 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a
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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 11 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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(OMOP CDM, FHIR) or metadata harmonisation Experience with ETL tools, workflow engines, or bigdata frameworks (e.g., Spark, NiFi, KNIME) Familiarity with containerisation (Docker) and HPC or GPU computing