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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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, 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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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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Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
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multiple techniques. This will allow researchers to visualise and ‘manually weight’ different types of information from different sources globally and locally across a macromolecular structure, and pipe
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degree or equivalent experience in computing related disciplines; Extensive skills in programming in C, C++, Python, DL/ML/AI frameworks, CI/CD tools, version control systems, and Linux (kernels, file
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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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analyses such as RNA‑seq library prep, single‑cell workflows, qPCR, Western blotting, ELISAs, and multiplex assays. Integrate multi-omics datasets using R or Python; collaborate with bioinformatics core