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method development to improve speed and accuracy in variation simulation for different materials and applications, and contribute to the group's work in ongoing research projects. About the division and
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, of January 25th. The presentation of the certificate is mandatory for the signing of the contract. More information can be obtained at: https://www.dges.gov.pt/pt/pagina/recognition?plid=374 Applications must
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0310-NPP-NOV26-GSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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of application may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable
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drive projects forward to uncover novel biology. The job will require extensive cell culture of inducible pluripotent stem cells, development of transgenic mouse models, development of brain tumor models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
biology lab experience Special Physical/Mental Requirements Campus Security Authority Responsibilities Not Applicable. Special Instructions Quick Link https://unc.peopleadmin.com/postings/315238 Temporary
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-Time) - Sarver Heart Center Posting Number req25572 Department Sarver Heart Center Department Website Link https://heart.arizona.edu/ Location To Be Determined Address USA Position Highlights The Sarver
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. Connections working at Dana-Farber Cancer Institute More Jobs from This Employer https://main.hercjobs.org/jobs/22172697/immune-effector-cell-therapy-car-t-oncology-nurse-navigator Return to Search Results
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processes in human cells, in particular with regards to the control of transcription and alternative splicing. For this, we develop and employ cutting edge single-cell sequencing and computational approaches
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Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research