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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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optimization and logistics management. Data analysis and project management skills. Strong understanding of optimization concepts and profitability. In-depth knowledge of environmental sustainability standards
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Number: 203914 Minimum Education and Experience: PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Location: Busch (RU-New Brunswick) Create a Job
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Number: 208746 Minimum Education and Experience: PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. City: Piscataway State: NJ Location: Busch (RU-New
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conducting both quantitative and qualitative research, including data collection and analysis Proven ability to obtain ethics and research governance approvals for human subjects research Track record
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, including cognitive interviewing, feasibility testing, and longitudinal data collection and analysis. There will be scope to contribute to the design of visual or interactive outputs (such as infographics
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) Knowledge of intersectionality-informed approaches to research including in data collection and analysis. Good collaboration skills, including with people with lived experiences, other research and academic
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data