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Program Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory - view more
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to access Brookhaven National Laboratory - view more information at www.bnl.gov/real-id . This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act
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Appointment Dates: July 1, 2026, to June 30, 2027 Proposed Compensation: $68,500 or commensurate with experience. Email/Website: [email protected] , https://www.reilly-lab.com(Link is external) , https
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setting with access to state-of-the-art imaging, electrophysiology, and computational resources. The Kumar Lab is committed to fostering scientific excellence, collaboration, and the professional
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thinking, creativity, democratic governance, and global leadership. To learn more, please visit https://tlac.tamu.edu/ Why Texas A&M University? Texas A&M University is committed to enriching the learning
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 21 days ago
. The successful applicant will enjoy a unique opportunity for collaborative research at the MPIDR, in particular with existing departments and groups working on topics within population health, as well as access
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
(health insurance, paid leave, restaurant subsidy, etc.). Access to Inria’s computing infrastructure and to the ĀnandaBot project’s dedicated hardware (GPU servers, robot platforms). Integration in a well
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for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and
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Jetzt online bewerben: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28347 PhD/Postdoc position in computational biology to elucidate NR2F1 dosage dependent
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docking to investigate viral spike/capsid architecture, thermal stability, and immune epitope accessibility. AI/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity