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to maximize project impact Responsible for FAIR data management and data sharing according to Open Science requirements Research & Technical Skills PhD in biotechnology, biomedical sciences, bioscience
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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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personality: You hold a PhD in synthetic organic chemistry. Previous experience working with organic synthesis, total synthesis, electrosynthesis and catalysis is required. Proficiency in data analysis and
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Veteran Program and the Psychiatric Genomics Consortium, as well as other large biobanks such as the UK Biobank and AllOfUs. The ideal candidate should hold an MD or PhD, and have a strong background in
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. The applicant should be holder of a PhD in artificial intelligence/machine learning and possess excellent background in agentic systems, large language models and/or continual learning besides analytical
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intelligence and large language models for data analysis, and bioscientific programming. The candidate should have experience in the analysis of large-scale biomedical data, e.g.: omics or clinical data, using
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supervision where required. For more information regarding the responsibilities for this role, please refer to the Position Description at JOBS@UNSW. Skills and Experience Summary: A PhD degree in pharmacy
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of real-world evidence using large real-world data sources, including data from the ongoing prospective cohort study (DREAM cohort). The successful candidate will have expertise in epidemiologic research
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more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and