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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Department: Medicine | Physical
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death sensing pathways â¢Perform retinal functional assessments (e.g., ERG) and gene expression analysis in RPE and photoreceptors â¢Perform high-dimensional flow cytometry for immune profiling â¢Present
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profile development, combining method development, application to real-world problems, and collaboration with experimental groups. Your project will complement ongoing work by other members in the group
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profile of the Laboratory can be found at https://www.nivs-lab.org/ (link is external) . Required Qualifications: Ph.D. in Biomedical Imaging, Neurobiology, Bioengineering, Medical Physics, or related areas
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to ongoing research projects, publish your findings in peer-reviewed journals, and present your work at national and international conferences. Your profile We are searching for candidates who have completed
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guidance and support for employees, doctoral candidates and students Your Profile: Master`s degree with subsequent PhD in theoretical physics or a similar field Background and strong interest in developing
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anaerobic microbiology Good knowledge of human metabonomics and gut microbial function Experience in metabolic profiling analyses Scientific writing skills and research publications Please see the job
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with advanced computational skills and interest in the sociology of collective intelligence and human-machine systems. Application Procedure A cover letter clearly indicates how the applicant’s profile
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Arts and
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, San Francisco, and has a strong and unique multi-disciplinary research background across both molecular and computational biology. Dr. Zhang has published first- and co-author papers in high-profile