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independently and as part of a collaborative research team. Preferred: Familiarity with relevant software packages and/or programming languages, such as Bruker TopSpin, Varian VnmrJ, Mestrelab Mnova, and Python
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chromosomes, anaphase bridges, micronuclei, and multipolar divisions; run, adapt, and document analysis pipelines in Fiji/ImageJ, CellProfiler, or Python; compile per-cell measurements into analysis-ready
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vision, image processing, or a closely related area. Strong programming skills, preferably in Python. Experience with data processing, model development, model evaluation, and technical documentation
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: https://www.dropbox.com/scl/fi/s50xypqqy8b2mk3pagl7h/CSAIL-MIT-FutureTech-Technical-Associate-1-JD.docx?rlkey=39a35ndqhy1zfw521vta10qqq&st=kxwbn8uj&dl=0 Job Requirements REQUIRED: Two years of relevant
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supervision. Analyze behavioral and neural datasets using MATLAB and/or Python. Read and discuss relevant neuroscience literature and participate and present in laboratory meetings. Handle additional related
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 20 days ago
measurement. - Strong experimental skills and ability to develop, troubleshoot, and validate measurement workflows. - Strong data-analysis skills using Python, MATLAB, R, Origin, or similar tools. - Strong
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Website: https://healthpolicy.fsi.stanford.edu/(link is external) How to Submit Application Materials: Please submit the required application materials to Dr. Goldhaber-Fiebert ([email protected](link
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experiments Demonstrated ability to analyze experimental data (e.g., in Python, MATLAB, or equivalent) KEY RESPONSIBILITIES AND ACCOUNTABILITIES 1. Design, perform, and analyze nanoscale magnetic resonance
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Chain organization. In this role, you'll design and develop advanced analytics solutions, Power BI dashboards, Python-enabled automation, and enterprise-approved AI tools that improve reporting
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systems. This includes programming (e.g., Python, R, MATLAB), quantitative data analysis, and development and application of mechanistic, deterministic models. Instructions To ensure full consideration