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design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or
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decisions focusing mainly on interpretable machine learning and its applications. The candidate must be an expert in music generation and Schenkerian analysis. The candidate will be responsible for working
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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models. Developing mathematical analysis to bound the trade-off between performance, energy efficiency and time especially in the context of large AI models. Contribute to the research and development
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epidemiological modeling. Prior experience with mathematical modeling of vector-borne disease and gene drive control systems. Knowledge, Skills, and Abilities Programming skills in R or Python. Ability to work
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in discovery projects. Coordinate research study activities; lead and manage projects. Oversee organization, synthesis and analysis of data and findings. Prepare scientific reports, outcome findings
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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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14853, United States of America [map ] Subject Areas: Bioinformatics / Clinical , Computer Science , Mathematics , statistics Nutrition Public Health Data Science Medicine (more...) Epidemiology Salary
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, whose primary activity will be academic research in association with a faculty member or team. The appointee will contribute to research projects focused on conducting statistical analysis of Omics data