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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
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a researcher or postdoc. To be appointed as a senior researcher, you must have completed a didactic/pedagogic education. If you do not have the necessary education, then it is possible to complete
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be enrolled to the Doctoral School in Sciences and Engineering (DSSE). The supervision will also be supported by I by the postdoc who will be employed in the project at UL. The duration of the project
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
chemical processes. Supervision of students, PhD students and postdocs, managing VISIONs nanoreactor team and serving as a “collective memory” to ensure continued advancement of nanoreactors for operando