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cellular mechanisms underlying cancer immunoediting in skin cancer. Current research focuses on understanding the role of natural killer (NK) cells in shaping tumor evolution and controlling cutaneous
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laboratory research experience in cancer biology, genetic engineered mouse models, microscopy, histology, flow cytometry and/or bioinformatics. The applicant must have good problem solving and organizational
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Postdoctoral Scholar to work with the principal investigator to develop and implement research experiments. Conduct molecular and biochemical research, using cell signaling, flow cytometry, western blotting and
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Postdoctoral Scholar to work with the principal investigator to develop and implement research experiments. Conduct molecular and biochemical research, using cell signaling, flow cytometry, western blotting and
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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. The postdoctoral associate will receive mentored training in environmental epidemiology, cancer survivorship, exposure assessment, survival analysis, mixture modeling, biomarker analysis, and health disparities
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 27 days ago
radiological emergency response. This position is within the Biophysical Metrology and Inference program at NIST, which develops measurement approaches, physical models, and data-analysis methods that connect
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-level experimental validation of fabricated prototypes. A strong drive for innovation is essential, as the work will push the boundaries of current photonic technologies and computing models. Job ID
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institutions. Among these elements is the key issue of intergenerational social protection and lifelong support. Indeed, various factors today appear to challenge the social protection model we know: in France
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models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In