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candidate will be expected to teach graduate-level courses in applied microeconomics and policy analysis, as well as undergraduate and/or graduate courses in public policy or other areas of specialization
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field-10 val. b)Knowledge of data analysis (weighting of 0,15) - maximum 15 values With advanced knowledge and experience in data analysis-15 val. With knowledge and experience in data analysis-10 val
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Demonstrated experience in statistical analysis of biomedical or clinical datasets Strong programming skills in R and/or Python Experience in data cleaning, management, and integration from multiple sources
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studies microorganisms that cause infectious diseases, with emphasis on rigorous analysis of these pathogens and the immune responses that restrict them. Program investigators direct detailed studies
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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ensure the reliability of the accelerator design. •Could also contribute to studies of higher-order modes (HOMs) excitation in the RF cavities and to the analysis of their potential impact on beam
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field (e.g., Environmental or Soil Sciences, AI, Data Science, Geosciences). Basic knowledge of soil science and strong interest in AI and soil health. Experience with data analysis/modelling and
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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively
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AMMETIS[1] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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: B53C24009700001. Where to apply Website https://selezionionline.cnr.it/jconon/call-detail?callCode=ISTC%20CR%20002%2020… Requirements Research FieldPsychological sciences » Cognitive scienceEducation LevelPhD