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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
. Experience in Epigenetics and single-cell omics background. Preferred Qualifications, Competencies, and Experience The ideal candidate will have experience and interest in cellular and/or animal models of SIV
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using animal models. The successful candidate will have the opportunity to contribute to multiple research projects, including studies focused on diseases of veterinary importance. In this role
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Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Post-Doctoral Associate to work on a fascinating project focused on the geomechanical modeling for energy
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upon extraction and processing technologies that have reduced energy requirements and lower environmental impacts. Recent work has confirmed that LiVS are the result of the explosive eruption of Li-rich
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started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working environment. OUR MISSION: Support Energy transition by
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-driven modeling (including ML/AI where appropriate) to help anticipate vulnerabilities and inform decision-making for energy deployment and national competitiveness. In this role you will : Conduct and
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Argonne National Laboratory, HEP High Energy Physics Division Position ID: Argonne National Laboratory-HEP High Energy Physics Division-POSTDOCTORALAPPOINTEEAIMLANDATLAS [#31214, 421194] Position
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Your Tasks Lead analysis of single-cell and pertubation datasets across glioma patien derived models and tumor tissue Integrative analysis of multiomics and pertubation datasets Drive projects
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Assistant professor (post-doc) at the Laboratory of Nuclear Proteins at the Faculty of Biotechnology
of muscular dystrophy using iPSCs-based in vitro model, transcriptomics and biochemistry and molecular biology methods. www.ncn.gov.pl/sites/default/files/listy-rankingowe/2021-09-15okipi34a/streszczenia/536263