66 experiment-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Duke University
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research experience related to critical minerals. Relevant research areas include critical minerals governance and law; governing critical minerals supply chains from the local to the transnational and
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background in molecular biology and cell biology. Experience working with animal models. Demonstrated scientific curiosity, initiative, and commitment to research excellence. Ability to work independently
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, Physiology, Biology, or a related field. Experience conducting independent research in neuroscience or a related discipline. Demonstrated experience with experimental design, data analysis, and scientific
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that advances medical imaging and improves patient care. Develop the skills, publications, and experience needed to pursue a successful academic or research career. Choose Duke. At Duke, we believe groundbreaking
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, program improvement, implementation, and systems transformation efforts. • Identifying, refining, and operationalizing measures that reflect outcomes and experiences meaningful to families, providers
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degree (PhD or equivalent) in Statistics or Biostatistics. Solid training in statistical methods. Experience analyzing clinical trial data. Excellent written and verbal communication skills. Strong
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quantitative and computational background Experience in one or more of the following areas is preferred:CT or other tomographic image reconstruction, medical image analysis, machine learning or deep learning
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cancer models and patient-centered translational approaches to define mechanisms that regulate treatment response, immune evasion, and disease progression. Candidates with experience in cancer biology
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contribute to collaborative scientific initiatives. Excellent analytical, communication, and problem-solving skills. Preferred Qualifications Experience working with multimodal data sources such as video
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of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research. Experience analyzing large secondary datasets, claims data, registry data, EHR data