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Department Name SURGERY Location Code SURGERY (06740A) Is this split and/or fully grant funded? Yes Duties and Responsibilities The Post-Doctoral Fellow will have a joint appointment with the Department
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368159 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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-coding RNAs that result from backsplicing events and are highly expressed in the central nervous system, especially in synapses. Recently, our group identified significant associations between circRNA
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368586 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking
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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0325-NPP-JUL25-GSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368373 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members. Write computer codes for the above
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acids, ligands), coarse-grain and polymer model development, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations