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independent and collaborative research leading to publications in high-impact international journals Develop and apply advanced geospatial, statistical, and AI-based methodologies Contribute to international
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publications. Proficiency with statistical analysis and data visualization. Application process: Applications should contain the following documents: Curriculum Vitae A letter (maximum 1 page) explaining
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
of improvement within research workflows using integrated and statistical management approaches (DOE, optimization strategies) to strengthen capacity building and scientific rigor. Contribute actively
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timely manner. Ability to participate in field work under occasional harsh conditions such as heat and wind Experience with appropriate statistical techniques for analyzing time-series data and community
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reviewed publications including use of simple to complex statistical analysis. -Compose and write scientific publications, progress and annual/final reports for grants. -Supervise undergraduate and/or
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research supervision, during this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
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Psychology, Human Factors, Educational Psychology, Cognitive Sciences, Modeling and Simulation, Computer Science, Measurement and Statistics, or a related field is required. The candidates must have research
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research, or closely related fields. Desired criteria include knowledge of the application of statistical methods for robust data analysis and the use of machine learning approaches for exploration and
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qualitative work. About You Candidates should hold a PhD (or be close to completion) in a relevant discipline, such as epidemiology, social epidemiology, data science, or medical statistics. We are looking