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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
immune cell isolation and multi-color flow cytometry. Experience with cell therapy techniques, such as T-cell engineering, stem cell manipulation, or CAR-T cell development. Familiarity with bioinformatics
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training opportunities designed to support your career development, including communication and technology skills that are essential in academia, and industry. Visit http://www.sheffield.ac.uk/sgs to learn
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California State University, Northridge | Northridge, California | United States | about 22 hours ago
the application and hiring process, please view the link: http://www-admn.csun.edu/ohrs/employment/ Equal Employment Opportunity: The University Corporation is an Equal Opportunity Employer and prohibits
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disease-related protein aggregation. It is an interdisciplinary workplace, bringing together about 25 researchers from different backgrounds, such as bioinformatics, biophysics and cell biology. SWITCH has
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. For general application assistance or if you have questions about a job posting, please contact Human Resources at 479.575.5351. Department: Zone B Department's Website: https://fama.uark.edu/ Summary of Job
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screening (e.g., CRISPR-based or related screening approaches), viral infection models, and insect or arthropod cell culture systems. The successful candidate will work with Norbert Perrimon to develop and
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or prevent aggregation in this model system, with the goal of uncovering key modulators and potential strategies to prevent disease progression. The applicant should have experience working with neuronal cell
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Researcher (R1) Established Researcher (R3) Application Deadline 13 Mar 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research
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Researcher (R1) Application Deadline 22 Apr 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded through the EU
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learning and genomics. Specifically, the candidate will work on developing and applying cutting edge deep learning frameworks for modeling massive single cell and bulk multi-omic datasets. Duties include