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be optimized using statistical analysis tools, and the ensuing products will be submitted to in depth chemical and structural characterization. 7. Applicable legislation and regulations: Research
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at the development and optimization of sustainable biocatalytic strategies applicable to the recycling of plastic materials. Within the scope of the work plan, the selection of appropriate enzymes will be studied, as
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of proteins and protein function prediction and optimization. Must have 3+ experience in bioinformatics and/or biological data formats. Must have familiarity with protein bioinformatics (understanding
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portfolios, and to establish process, structure and metrics for the LAG team as it relates to prospect work. Develop, track, and meet team goals related to the number of identification, cultivation
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international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems and industrial
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
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master`s degree in natural sciences, engineering or information technology, preferably with a PhD Experience with the structures of the EUROfusion consortium is advantageous Experience in the field
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to utilize industry-standard tools to design, build and maintain data ETL/ELT pipelines. Strong skills in SQL for querying, transforming and optimizing data in relational environments. Experience with
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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Development Link to USC Market Title https://uscjobs.sc.edu/titles/131847 Job Level P4 - Professional Business Title (Internal Title) Sr Training & Develop Mgr Campus Columbia Work County Richland College