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, (iii) experience in statistical data analysis using R, STATA, SAS or other statistical packages; (iv) excellent written and oral communication skills in both English and Chinese (Cantonese and Mandarin
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title: InSEPSia: Innovative methods for early diagnosis of sepsis based on multiparametric biomarker analysis. Project description: The research involves the search for a diagnostic test for sepsis. Early
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to identify targets for the development of rejuvenation strategies. We have established a large dataset of single cell whole transcriptomic analysis of hematopoietic progenitors and bulk RNAseq of endothelial
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scientists. * Excellent oral and written communication skills. Preferred Qualifications * Familiarity with common NGS analysis tools. * Familiarity with tensorflow and/or pytorch.  * Demonstrated ability
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the context of agriculture. • Excellent communication skills and proficiency in English. • Experience in at least one of the following areas: microplastic analysis, soil science, plant physiology
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systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and model development. Ability to work
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). Background in modeling of dynamical systems and control theory. Knowledge of fluid dynamics and related physical modeling. Strong programming skills (e.g. Python, MATLAB, or similar) for data analysis and
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observational data Sample analysis in the laboratory using state-of-art molecular microbiology techniques and fish health and welfare analysis Sequencing data analysis (bioinformatics) Scientific dissemination
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updating and data extraction Work with quantitative data analysis, including meta-analysis Integrate living systematic review data into a RBA of sustainable dietary transitions Develop a living support
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where variable renewable energy sources are involved. Emerging digital and cyber-physical systems technologies are an integral component of grid interactive efficient buildings. Through advanced control