72 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" Fellowship research jobs at Nature Careers
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curiosity and a desire for real-world impact. Mayo Clinic has digitized over 15 million gigapixel digital pathology slides, representing an incredible diversity of complex diseases of all types. This data is
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of complex diseases of all types. This data is now helping to power fundamental advancements in digital pathology, including the training of class-leading pathology foundation models and task-specific models
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oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance
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) for hypothesis development, experimental design, and execution. Participate in data processing, analysis, discussion, reporting, presenting findings at conferences, and manuscript drafting. Work effectively within
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, to generate crucial information revealing the cellular roles, functions and underlying mechanisms by which MICL regulates immunity. The focus of this work will be to elucidate the components of MICL involved in
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment
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funding, the Centre brings together a vibrant community of biomedical scientists, clinicians, engineers, physical scientists, and data experts who share a mission to transform the lives of people living
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position is full. V. Contact Information (I)Official Website：https://www.sio.org.cn/english (II) Postdoctoral policy consultation: Contact person: Ms. Ni Consultation email: sio_postdoc@sio.org.cn (III
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for more information about the Klaus Töpfer Sustainability Fellowship and a list of Frequently Asked Questions. The Klaus Töpfer Sustainability Fellowship is supported by a discretionary budget of up
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Integration of lifestyle, metabolic, and genomic data to refine early detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening