107 python-"Multiple"-"U"-"Washington-University-in-St"-"SciLifeLab" Postdoctoral positions in United States
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occurring at multiple scales in subsurface energy storage and recovery systems. An interdisciplinary team, including experts from UTEP, Florida State University, the University of Utah, Sandia National Lab
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for Artificial Intelligence. Strong demonstrated programming skills including Python or other similar languages. Ability to work independently, prioritize tasks, and deliver results in a timely manner. Assess and
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for the eastern US. Multiple peer-reviewed publications are expected to result from this work, to be developed in tandem with key project personnel and collaborators. Travel funding is available to present research
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background in coding. • Ability to work effectively with a diverse team from multiple disciplines. • Strong communication skills. • Enthusiasm for leading experiments with human subjects. Preferred
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candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial
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collaborating. Interest, motivation and skill in writing manuscripts and grants and disseminating research findings in multiple ways (i.e. web, social media). Highly skilled in data analysis, including
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, experimental, or computational techniques. Experience in applying for research funding. Skilled in analyzing and interpreting data (e.g., using MATLAB, R, Python). Ability to write papers and reports for peer
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disorders. The successful candidate will apply cutting-edge techniques in spatial and single-cell transcriptomics to study the effects of gene knockouts across multiple scales, contributing to a comprehensive
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geologic media As for programming, we prefer familiarity with MATLAB, Python, and C++. Prior experience with high-performance computing (HPC) clusters and Unix operating systems is advantageous. We welcome