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subject related to design or human behaviour (including, but not limited to, engineering, design, architecture, psychology, cognitive science and neuroscience). A longer version of this advert is here
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programs related to human genetics genomics with focus on Alzheimer's disease and related dementia, developing best practices and implementing workflows, co-supervision of postdoctoral fellows, students, and
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investigate strategies to enhance communication security, focusing on resilience against jamming and spoofing attacks. Students will work on designing secure architectures that ensure data integrity and system
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of Recruitment External Posting Pay Rate Range $60,000 - $70,000 Close Date 11/26/2025 Priority Review Date (Note - Posting may close at any time) Job Summary We are seeking a postdoctoral scholar to lead
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Los Alamos National Laboratory, Theoretical Division Position ID: Los Alamos National Laboratory -Theoretical Division -NAPD [#28138] Position Title: Position Type: Postdoctoral Position Location
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equivalent) in a subject related to design or human behaviour (including, but not limited to, engineering, design, architecture, psychology, cognitive science and neuroscience). It would be an advantage
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 2 months ago
focused on developing potent CAR Treg based therapies for neurological and hepatic disorders and assessing immune response to gene editing based therapeutics delivered as AAV or LNPs. Postdoctoral Associate
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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interoperability across complex assets and systems. The research will explore how common data architectures can be used to enhance semantic understanding and enable better decision-making across system-of-systems
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading