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of Arts and Sciences, Department of Biology invites Applications for a full-time Post-Doctoral Researcher with experience in the area of the statistical analysis of multivariate evolutionary time series
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of Arts and Sciences, Department of Biology invites Applications for a full-time Post-Doctoral Researcher with experience in the area of the statistical analysis of multivariate evolutionary time series
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statistical combination of multivariate datasets to contribute new knowledge of change in the mass of the East Antarctic Ice Sheet. The position is part of a new prestigious ARC Laureate Fellowship team
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models. Knowledge base of multivariable and vector calculus, as well as geometric algebra. Familiarity with machine learning and algorithms. Knowledge and proficiency with protein Large Language Models
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learning and software engineering skills to develop the data analysis protocols for collection of data and quality assurance; the processing and analysis of the data (e.g., multivariate analysis and/or
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kinetic monitoring; process and model data (regressions, multivariate analyses). • Lead or coordinate nanomaterial characterization (TEM/HRTEM, SAXS/WAXS, NMR). • Ensure data traceability, critical analysis
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genomics, transcriptomics, proteomics, and metabolomics. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Utilize and fine-tune genomic foundation models
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of contract research staff to carry out activities related to research lines or scientific-technical services. Ref. Interna F1032-7300 PID2022-140786NB-C31 Call for selection of research asistants https
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are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology
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. Enrolment in PhD degree. Work plan: Carrying out sampling and processing of samples of bivalves and benthic communities. Multivariate data processing. Preparation of scientific reports and publications