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Field
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, Tableau, Python and Alteryx. Following industry standards, individual utilizes multiple sources of integrated data and plays a key role in reporting conclusions to leadership regarding metrics, goals
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scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments. Primary Duties and Responsibilities
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Berkeley National Laboratory has multiple openings for a Sr. Scientific Engineer Associate in Berkeley, CA. Duties: Lead in the design, setup and conduct of laboratory and field experiments related
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presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally
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Specialist to join our innovative team. The Research Data Management Specialist will: Manage multiple datasets and corresponding documentation, visualize data, and work closely with the analytic team
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phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in the fields of cancer
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Engineering, or a related discipline. Proficiency in Java and/or Python programming. Familiarity with software development tools and platforms (e.g., IDEs, cloud environments etc). Demonstrated ability
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acquired at multiple resolutions (tissue-level, single-cell/nucleus, and spatial transcriptomic data), requiring complex integrative analyses. The successful candidate will lead the analysis of a large
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Lawrence Berkeley National Laboratory has multiple openings for a Scientific Engineering Associate in Berkeley, CA. Duties: Perform scientific data analysis using the scientific python stack
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, or Python Proficiency with statistical analysis (descriptive, regression) Intermediate to advanced skills in Microsoft Excel with ability to expand skills as needed Experience with data cleaning, database