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developing and scaling up the company’s protein portfolio. You will play a central role in driving the development and scaling of bioactive specialty proteins from the R&D phase through to pilot scale and
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pipelines for models using the necessary programming languages (primarily R, Python, SQL). • Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices
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collection tool and using R, R-Shiny or another statistical data software for quantitative analyses, preferred. Experience writing qualitative rapid analysis reports, designing qualitative codebooks and/or
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power users to design and implement infrastructure that supports analytics and machine learning workflows, including feature engineering pipelines and model outputs integration. Use Python or R to support
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Code: MUTH 101 001 Location: SADB, 1/12 Schedule: T R, 08h35 - 09h55 Deadline to Apply: 2025-08-06 McGill University hires on the basis of merit and is strongly committed to equity and diversity within
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workplace, and creates the necessary conditions for a rewarding career. Job Summary Cooks and prepares meals in accordance with a menu plan. Organizational Status Athletics & Recreation (A&R) is a department
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., HRS, GFS) in R, Stata, or Python Conduct descriptive, inferential, and multivariate statistical analyses according to project aims Create and document reproducible analysis pipelines Manage code
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
distance of their assigned duty station. Education and Experience: Experience using Python and/or R and relevant libraries for working with images, natural language processing, and working with application
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Experience: Bachelor?s degree in biology, chemistry or other life sciences Master?s in Statistics, PhD preferred Experience with biostatistics software; experience in the use of Stata or R preferred Experience
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What we are looking for The BioMed X Institute is establishing a new, fully funded research group at its new XSeed Labs incubator on the R&D campus of Servier in Paris-Saclay, France, hosted