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interests in biomedical NLP and medical LLMs, multimodal and foundation models, ophthalmology and medical imaging AI, and real-world applications in biomedicine and healthcare. Please visit https
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other scientific events. Contribute to the preparation of scientific manuscripts and research publications. Where to apply Website https://jobs.vhir.org/jobs/8209421-phd-researcher-clinical
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subject area or subject specialism Desirable B1 An awarded PhD in subject specialism or equivalent Skills Essential C1 Knowledge of nutrition or microbiology, biology methodology or biomedical sciences
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 8 hours ago
PhD PROGRAM DIRECTOR The School of Nursing at UT Health San Antonio invites PhD (Doctor of Philosophy) in Nursing or related field to apply for a full-time research position as Associate Professor
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Supervisor: Dr Guiping Wang Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research
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-identification standards and privacy-preserving data techniques relevant to biomedical research. Master’s or PhD in Computer Science, Data Science, Bioinformatics, Biomedical Informatics, or a related field
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-eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post-PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
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1 Sep 2026 Job Information Organisation/Company University of Navarra Department School of Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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-vesicle biology, or a combination of these areas. Qualifications Applicants should have: • A PhD, MD/PhD, MD, or equivalent doctoral degree in cancer biology, molecular biology, cell biology, immunology
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are especially encouraged to apply. DS/AI-driven Biological, Biomedical, and Life Sciences, including structural biology, macromolecular design, genomic foundation models, computational neuroscience, predictive