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Field
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computational models with microbiome-driven mechanisms and lay the groundwork for studies on microbiome modulation as a therapeutic strategy. Integrating clinical expertise and advanced molecular analyses ensures
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postdoctoral research position is opening to study the mechanisms underlying the response of luminal breast cancers to endocrine and cell cycle targeted therapies ● The project will involve development and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
of North Carolina at Chapel Hill. NC OSHERC Targeted Research Training (TRT) Program has an opening for a post-doctoral fellowship position for an individual interested in pursuing advanced research training
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Hill. NC OSHERC Targeted Research Training (TRT) Program has an opening for a post-doctoral fellowship position for an individual interested in pursuing advanced research training in occupational health
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focused on understanding and countering harmful narratives and, mis/disinformation, and applying social network analysis. To be successful you will need: PhD in a relevant discipline such as computer
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computational models with microbiome-driven mechanisms and lay the groundwork for studies on microbiome modulation as a therapeutic strategy. Integrating clinical expertise and advanced molecular analyses ensures
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· Effective written and verbal communication skills. · PhD degree in computer science, data science, or related fields, to be completed by the start date of the appointment. · Strong software
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About the Role We are looking for a Postdoctoral Research Assistant to work with Dr Chema Martin on a Human Frontiers Science Program Research Grant project entitled “Evolutionary Biophysics
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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. Qualifications • PhD degree in computational biology, bioinformatics, mathematics, physics, engineering, computer science, or a related field. • Computational background in areas such as AI/deep learning