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Extremely Big Eyes on the Early Universe
In the next decade, the commissioning of Extremely Large Telescopes (20-40m class) will allow us to see the high redshift universe using new eyes of unprecedented power. By themselves or in combination with other facilities, these new eyes will have the potential to transform our understanding of the formation and early evolution of galaxies and black holes, first light and cosmic reionization, as well as the evolution of the intergalactic and circumgalactic media.
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IAU Symposium "Solar and Stellar Magnetic Fields: Origins and Manifestations”
The main goal of the Symposium is to bring together solar and stellar astronomers to discuss common problems related to the origin of solar and stellar magnetic fields, their atmospheric/coronal effects, their impact on planetary atmospheres, and their role on stellar formation and evolution.
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Design and evaluation of extension programs
O curso Design and evaluation of extension programs será ministrado pelo Prof. Keith Diem (Universidade da Florida). O objetivo é ensinar métodos que facilitam a criação e avaliação de projetos de extensão ligados a divulgação de ciência para o público em geral e para estudantes de diferentes idades.
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Ciclo de Cursos Especiais 2018 no Observatório Nacional
Pelo vigésimo terceiro consecutivo, a Divisão de Programas de Pós-Graduação do Observatório Nacional vem oferecer aos estudantes e pesquisadores das áreas de Astronomia, Astrofísica e Cosmologia a escola avançada denominada Ciclo de Cursos Especiais (CCE).
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Astronomy school on photometric redshift
This school intends to be an easy introduction to Multi-band (MB) Aperture photometry and Bayesian Photometric Redshifts derived from Modern Astronomical Redshift Surveys. The school will the given by Dr. Alberto Molino (IAG, Universidade de São Paulo, Brazil), who is an expert on this topic.
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Summer School in Statistics for Astronomers XIII (June 5-9 2017)
For the 13th year, Penn State's Center for Astrostatistics is offering its week-long Summer School in statistical methodology for astronomy. The School provides an intensive program in statistical inference covering topics like principles of probability and inference, Bayesian analysis, nonparametrics, regression, bootstrap resampling, regression and model selection, multivariate clustering and classification, spatial statistics, and time series analysis. Extensive training in the public domain R statistical software environment is provided.
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Como ampliar parcerias público-privadas para investimento em Ciência, Tecnologia e Inovação
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INFIERI The 4th International Summer School on INtelligent Signal Processing for FrontIEr Research and Industry
INFIERI 2016 4th Summer School on INtelligent signal processing for FrontIEr Research and Industry January 23rd to February 3rd, 2017 University of São Paulo, Brazil Astrophysics, Medical Physics, Particle Physics, Technological Challenges for confronting the Physics Challenges, Exploiting Synergies, Cross Disciplinary
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The 5th Global Conference on Materials Science and Engineering (CMSE 2016)
On behalf of The 5th Global Conference on Materials Science and Engineering (CMSE 2016), scheduled to be held in Taiwan during Nov. 8th-11th, 2016, we sincerely invite you to attend our conference and share your latest and original research. Accepted papers will be published in EI & Scopus indexed conference proceedings, while selected excellent ones will be recommended to and published in related ISI indexed journals. After the conference, a one-day tour in Taiwan will be provided.
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ASAIP announcement: Cross-disciplinary astrostatistics program
A vast range of statistical problems arise in modern astronomical and space sciences research, particularly due to the flood of data produced by both ground-based and space-based astronomical surveys at many wave-bands. A resurgence of interest in statistical and applied mathematical methods has emerged among astronomers and astrophysicists as they seek insights into the physical phenomena underlying such complex data. Researchers often confront problems for which the common approaches in astronomy either inadequately utilize known methods or require the development of new methods. Although, astronomy was responsible for many important statistical concepts and methods in the past few centuries, in contrast with the biological and social sciences, the statistical needs of physical scientists have been neglected during past decades.
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