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for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive modeling, machine learning
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Number: 6818810 Lead Data Analyst Brown University To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/South-Street-Landing
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outstanding candidates who are experienced in, and excited about, conducting high-quality research in an area that combines applied mathematics/mathematical physics and electromagnetic analysis
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- Experience in computer programming, if possible object-oriented (ideally C++) - Experience in modeling complex chemical systems, and/or in mathematical/computational analysis of multistable dynamical systems
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to practices for good sterile technique. Good analytical reasoning & ability to perform complex mathematical calculations using scientific notation. Must be able to work independently. Excellent interpersonal
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algebras, complex analysis and logic. We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff
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Data Science” (https://mathematik.univie.ac.at/forschung/computational-mathematics-and-data-science-comada/). Within this focus area, there is expertise in fields that are of great important for
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis
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, engineering, mathematical physics, or related disciplines) Related Skills & Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 26 days ago
of PhD Student in Warsaw, Poland, for the implementation of the project OPUS 29 financed by the National Science Center. Group Leader: Prof. Agnieszka Chacinska (https://imol.institute/leaders/chacinska