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Field
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quantitative techniques (e.g., NLP, classification, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data
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, the flagship programme of the Newcastle Health Research Partnership. In addition to the Newcastle PSRC, the postholder will have an academic home at the Newcastle University Population Health Sciences Institute
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or professional degree graduates or junior postdoctoral trainees in an engineering, life sciences, physical sciences or a related field. A PhD or professional degree must be granted prior to starting the fellowship
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managing timelines and deliverables. Qualifications Advanced Degree: A PhD in a relevant field such as computer science, economics, political science or cultural evolution Programming Skills: Proficiency in
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to teaching or other training activities (if applicable). Criteria of the candidate: PhD in the field of wireless communication, computer science, or any related field. Strong publication record in high impact
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top journals such as Journal of Hematology & Oncology (2024), Cancer Research (2024), Cell (2023), Cell Stem Cell (2023 ×2), and Nature Cell Biology (2022). The Su research program is currently
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regular lab meetings. Contribute to the overall development of competitive multi-disciplinary lymphoma translational research. Job Requirements: PhD in biological/biomedical sciences Proficiency in standard
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in