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the analysis of this large and varied data set into four regional case studies (Calabria and Sicily, Carthage, the Southern coast of Gaul; and Gallaecia), the results of which will form the basis of three edited
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) Translation. The team will concentrate the analysis of this large and varied data set into four regional case studies (Calabria and Sicily, Carthage, the Southern coast of Gaul; and Gallaecia), the results
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experience with proteomic or lipidomic analysis is required. Experience with data-analysis with R is required; You are highly motivated, creative and willing to work with human blood samples and large -omics
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. This is enabled by an extensive farm-based infrastructure with large scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position, please contact Dr
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. Where to apply Website http://www.fapesp.br/oportunidades/9104 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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the date on which their PhD was awarded, regardless of when they are hired. Be sure to refer to the following link for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact Dr
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footprint through intelligent design decisions. Integrating AI with technical data from every stage of a garment’s lifecycle, CirculAI Fashion supports design teams to transition towards circular, sustainable