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an electrolysis cell. In particular, stability will be assessed using accelerated degradation tests, and the structural and morphological evolution of the catalysts will be monitored via physicochemical techniques
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atlas-scale pediatric single-cell and spatial transcriptomic datasets. We are particularly interested in developing AI- and agent-based approaches to nominate cell-surface antigen combinations
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: [email protected] , https://medicine.yale.edu/lab/tumor-neuroimmunology-lab/ Introduction of School/Department: Embedded within the Yale School of Medicine, Yale Cancer Center, and the Yale Center
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services include, but are not limited to, providing first-tier IT support to resolve technical issues efficiently for both local and remote users. Offer support for desktop, mobile, and cloud-based
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. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation Faculty Affairs and Professional Development | IU School of Medicine Basic Qualifications Required Qualifications Ph.D. in
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renewable Appointment Start Date: As soon as possible, but later starting date also considered Group or Departmental Website: https://www.mignotlab.com(link is external) How to Submit Application Materials
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on the position closing date Minimum Qualifications: Ph.D. in Biotechnology, Molecular Biology, Cell Biology, Biochemistry, Biology, or a closely related field. E-Verify Participation Notice: https://www.e
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pluripotent stem cells (iPSCs) will be particularly valued, including the use of iPSC-derived cellular models. Experience in 2D and 3D cell culture, vascular models, bioprinting, and biofabrication techniques
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human cell lines, primary cultured neurons, and rodent models to investigate the cellular operational mechanisms of RNA modification in regulating gene expression in the context of neuroinflammation
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development