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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
Posting Information Posting Information Department Anesthesiology - Research - 413624 Posting Open Date 07/22/2024 Application Deadline Open Until Filled Yes Position Type Permanent Faculty Working
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departments and schools · Collect and analyze data · Write and submit scientific papers and abstracts, as well as submit grant proposals · Presents ongoing work and findings to colleagues and at academic
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and characterization, along with proficiency in immunological techniques and assays, are highly desired. Additionally, knowledge of bioinformatics tools and databases for advanced data analysis is
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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07.05.2022, Wissenschaftliches Personal The research group "Biomolecular Quantum sensing" at the Technical University of Munich and member of the Munich Center for Quantum Science and Technology
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: Faculty University Authorized FTE: 1.000 Unit: UMCES- Center for Environmental Science Campus/College Information: The University of Maryland Center for Environmental Science unleashes the power of science
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interested in. The deadline for applications is March 31st, 2023. For further information, please contact: Prof. Dr.-Ing. Jakob Burger Laboratory of Chemical Process Engineering Tel. +49 9421 187 275 burger
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fundamental knowledge about the handling and capturing of flow behavior in multistage compressors. The collaborative frame with a prestigious industry partner will give insight to future technology requirements
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and ability to express yourself in spoken and written German and English language • Proficient use of common programming languages, MS-office, data storage, and image processing • Ability to support the
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scholarly activity in areas of interest. Scholarly activity is defined broadly and includes, for example, proteomics, LC-MS/MS-based approaches, data analysis and informatics for mass spectrometry-based data