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on complex problems involving the development of new theories and methodologies. The research will be largely focused on the development of predictive computational tools for the analysis of the spatial spread
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complexity, including the analysis, identification, application, and reconciliation of payments; performs sponsor contact maintenance, initiates invoice write-off requests; may organize data for internal audit
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to improve policy and practice. Work is done using multiple social scientific methods, often in conjunction, including qualitative data collection and analysis via semi-structured interviews, structural micro
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 17 days ago
-organisation mechanisms, with the aim of contributing to the definition of general principles for the engineering of complex systems. Where to apply Website http://www.unibo.it Requirements Additional
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, complex quantitative datasets, Experience of quantitative research related to child development, Longitudinal data analysis Additional Information Eligibility criteria Mandatory: *PhD in psychology
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of motif-recognizing proteins. In parallel, the candidate will develop computational approaches to identify indirect interactions based on prior biological knowledge and to infer higher-order complex
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of stem cell biology, developmental neuroscience, and computational analysis, with a particular focus on the human subplate and its interaction with early thalamic input. You will contribute
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and analyze complex research problems using a multitude of computational approaches (30%) Develop and deploy research-related new bioinformatic pipelines for the processing, quality control, analysis
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modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial Good organisational skills and ability
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. These data are multimodal, noisy, dynamic, and largely unlabeled, making their analysis particularly challenging. At the same time, cyberattacks are becoming increasingly sophisticated. Adversaries leverage