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to submit postdoctoral grant applications. 20% Detailed documentation of procedures and experimental data is expected. This involves analyses of data, writing summary reports on results of work and discussing
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(e.g., Neuropixels recordings) in awake, behaving rodents. • Computational modeling and advanced data analysis. At least one role will be embedded within the newly launched Simons Collaboration
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Job 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 a
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techniques to expand and enhance the robust monitoring of cropland carbon budgets. This involves integrating multi-modal data (e.g. remote sensing, eddy-covariance flux tower/chamber measurements, soil
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including engineering of mammalian cell genomes using CRISPR/Cas9 editing, cell cycle synchrony experiments, analysis of chromosome segregation, immunostaining, live cell microscopy, and quantitative image
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, including but not limited to the following disciplines: u Chemistry u Biology u Basic Medicine u Public Health and Preventive Medicine u Pharmacy u Medical Technology II. Contact Information Interested
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develops technologies to understand and reverse the circuit impairments that cause mental illness, including depression, obsessive-compulsive disorder, PTSD, and addictions. More information about our work
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excellence. For additional information, please view our website: psych.umn.edu. About the College of Liberal Arts Home to the arts, social sciences and humanities disciplines and programs, the College
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the Postdoctoral Fellow towards his/her long-term goals. The position may include the following work. Experience is preferred, but not required for all: 60% Data generation in Lab: Molecular biology techniques: PCR
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
) for the application of THz fields in ultrafast electron diffraction (UED) in the Department of Physical Chemistry of Prof. Martin Wolf. The successful candidate will join our ultrafast electron diffraction team in