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Field
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purpose of this position is to conduct research in the field of model reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust
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system affects these behaviors as well as analgesia in a model of chronic pain. This knowledge will facilitate the development and/or adoption of orexin-based therapies that can effectively treat
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Phenomenology. Members of the group with interest in this area include Professor Ben Allanach and Professor Maria Ubiali. Duties will include developing and conducting individual and collaborative research
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applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc
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Postdoctoral Fellowship positions scholars to work with a Cornell faculty mentor and an external partner organization. Each Fellow receives individualized and cohort-level support in professional development
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can PI proposals as well as participate in collaborative proposals) who will conduct independent and collaborative research and develop collaborations with faculty, staff, and students. You will have
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broader university. Synergistic professional development opportunities may include co-mentorship of research students in the lab and co-development of grant proposals. Along with mentored research
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research projects focused on in vivo metabolic tracing in mouse models. Perform metabolomic analyses to investigate metabolic pathways relevant to cardiac health. Engage in scientific communication, train
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candidate will work with Professor Guilio Del Zanna on producing advanced atomic models. This post offers an excellent opportunity to contribute to a high-profile project focused on the development
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contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a