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Field
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doctoral degree in Epidemiology, Biostatistics, or a closely related quantitative field Demonstrate strong computational and statistical training, including experience with complex data analysis Have
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research, education, and innovation in the field of urban sciences. It uses Living Labs as a research and training environment to develop future urban leaders and to identify innovative solutions to complex
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analytical activities. Activity 1, Conducting experimental research and data analysis in the field of astrochemistry: Setting up and monitoring experimental protocols; Analyzing and interpreting scientific
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, (extraction, handling, and analysis). Experience with molecular biology techniques (e.g., qPCR, sequencing-based approaches). Experience working with complex or mixed microbial cultures. Ability to analyze and
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/complexes, drug formulation and analysis. The primary goal is to develop new organometallic iron complexes and suitable drug formulations, to enable biomedical applications. The project will be conducted in
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training environment to develop future urban leaders and to identify innovative solutions to complex urban challenges. CUS focuses on four pillars: research, education, expertise, and innovation, all aimed
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
the development of GISAXS data analysis methods and is responsible for analyzing the data obtained. The postdoc will also prepare and characterize the thin films studied using e.g. spin coating and AFM. The optimal
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Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence. Develop and implement data pipelines for the ingestion, curation, and transformation of RWD
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experience in developing non-target screening workflows and suspect analysis for complex mixtures; Proficiency in building and interpreting molecular networks using MS data; Strong knowledge of advanced
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research goals. Data Analysis, Interpretation, and Dissemination Analyze complex biological datasets using appropriate statistical and computational tools. Prepare figures, manuscripts, and abstracts