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Description The Postdoctoral Research Associate will examine the epigenetic regulation of the paternal genome and subsequent role in embryo development in the Luense Lab (https://animalscience.tamu.edu/people
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formed during metal extraction in glycine leaching processes. This work will advance both the fundamental chemical understanding of GLT and the application of molecular modelling to hydrometallurgy and
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of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html . Refer to https://policy.unm.edu
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require additional information? Please contact: Efstratios Gavves, Associate Professor, e.gavves@uva.n Where to apply Website https://www.academictransfer.com/en/jobs/359154/postdoc-on-robot-world-models-u
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). For further details on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits Pre-Employment Checks Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct
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processing • High-speed memory, interconnects, and data center architecture • Efficient software stacks for training and deploying large-scale models (e.g., Llama, DeepSeek) in a data center or on
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
other PhD students, combining theory, computation, and experiments to model and manipulate the physical forces experienced by invading cancer cells. The overarching goal is to identify biomechanical “weak
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GS-3 Compensation Grade Profile GS-3j Salary Range $97,500.00 - $146,250.00 Time Type Full time Duration Type Staff Work Model On-site Background Check Requirements All candidates for employment will
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microscopy, spatial transcriptomics and in vitro and in vivo models to study brain tumor cell-cell interactions and the organization of the cancer ecosystem. We strive for highly collaborative and inclusive
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review, Asana and JIRA for agile project management, and Qlik Cloud, Snowflake and Posit Connect for deploying dashboards and predictive models to support the University’s sophisticated fundraising