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Field
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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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languages such as R, Python, and Linux, and possess excellent written and oral communication skills. She/he/they will provide assistance with preparation of reports and papers for publication; assistance with
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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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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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platform and coordinating the integration and testing of commercial cellular equipment. The candidate must have fluency in multiple programming languages such as bash scripting, C++ and Python and comfort
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flagship microbiome–brain health initiative at the Dementia Research Centre. Handles and integrates data across multiple domains: microbiome, neuroimaging, retinal imaging, cognitive testing, and blood
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Microsoft, open-source, and web standard technologies such as Python Flask, .NET Web Forms, .NET MVC, C#, CSS, HTML, ReactJS, jQuery, and T-SQL to design, develop, and deploy web-based applications
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fast-growing list of clients, we are seeking team members ready to wear multiple hats and support building Foster Insights from the ground up. Job Summary As a Data Scientist at Foster Insights, you will
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tools (e.g., R, Stata, Python) preferred. Ability to handle multiple tasks and meet deadlines with accuracy and attention to detail. Interest in working collaboratively in a team setting and learning new
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Other Computer Applications: Programming languages (such as MATLAB, Python, C, Java) and Graphic Design software (such as Adobe Illustrator or Photoshop) Required Additional Knowledge, Skills and