851 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" Postdoctoral positions in United States
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Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is $72,879.00-$121,465.00. Please note that the pay range information is a general guideline only. The pay offered
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– immunofluorescence and confocal imaging Molecular bench work — basic molecular skills are required (molecular cloning, genome editing, etc.) Data analysis – basic skills in bioinformatics or genomic data analysis
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Posting Details Position Information Position Number 998448 Functional Title Post-Doctoral Fellow Position Type Post-docs Position Eclass EP - EHRA 12 mo leave earning University Information Located
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capabilities for advanced nuclear materials systems. In addition, this work includes developing processes that connect mechanical and thermophysical testing data with the microstructures of ceramic and metallic
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: CCC
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Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical
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by the Sea by Best College Reviews. Our natural setting is enhanced by its modern, attractive, and state-of-the-art classroom buildings and support facilities. Learn more information here ! PURPOSE
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Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is $72,879.00-$121,465.00. Please note that the pay range information is a general
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UW. Interested candidates should submit a cover letter, CV, and contact information for 2-3 references. The preferred start date is January 1, 2026. This position is full-time (100% FTE), 12 months
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systems. The individual will be responsible for: • Develop and implement models for the structural and mechanical performance and optimization of mass timber systems, using data-driven approaches