2,618 computer-security "https:" "https:" "https:" "https:" "DTU Electro" Postdoctoral research jobs in United States
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these developmental insights to innovate regenerative approaches for treating heart diseases in adults. The successful candidate will lead a research program to understand how chromatin remodeling complexes control
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years of experience. A reasonable estimate for this position is $66,737.00 - $80,034.00. See Table https://www.ucop.edu/academic-personnel-programs/_files/2024-25/oct-2024-scales/t23.pdf Application
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Job Description We are seeking a highly motivated and creative candidate for a fully supported postdoctoral fellowship to develop immune-based therapies. Specifically, the research is aimed to develop cell-based immunotherapies for pediatric tumors. Studies are focused on using genetic...
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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protein engineering to investigate regenerative medicine and immunotherapeutics. Responsibilities: Candidates will be responsible for: Design and execute computational and experimental studies to explore
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Biology Stanford Cancer Center Postdoc Appointment Term: Open-ended. Appointment Start Date: ASAP Group or Departmental Website: https://rogala.stanford.edu/ (link is external) How to Submit Application
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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at more senior ranks may have multi-year appointments. Essential Qualifications: PhD in a relevant field. Interested applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/40601
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, Chemistry, or Computer Science). Applications must be submitted online at https://www.princeton.edu/acad-positions/position/40121 Please include a CV, cover letter, a brief (1-2 page) statement of research
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI