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Title: Computation of signal whitening by the olfactory system

Presenter: Wen Yan, Ph.D. Flatiron Research Scientist

This course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected …

… Ayelet Heimowitz; Automatic particle picking and centering August 8, 2019 Richard Henderson; Getting the most out of cryo-EM images August 9, 2019 Roy Lederman; Hyper-Molecules …

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

The Center for Computational Biology at the Flatiron Institute in New York City will hold a two-day workshop, “The 3D Nucleome”, intended to bring together researchers working …

Quantum Café is CCQ’s ongoing seminar series: open to all bona fide members of the greater NYC scientific community and held every second week, Quantum Café presents …

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

Speaker: Jiahao Fan will be presenting a paper by Bara A. Bawan, Matthew S. Creamer, Jacob A. Zavatone-Veth and Damon A. Clark Dynamic nonlinearities enable direction opponency …

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

Flexible slender structures inflow are everywhere. While a great deal is known about individual flexible fibers interacting with fluids, considerably less work has been done on fiber ensembles …

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

Face-to-face meeting of developers in the Astropy Project

Methods in Computational Neuroscience introduces students to the computational and mathematical techniques that are used to address how the brain solves complex problems at levels of neural organization …

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

Simons Observatory internal review of the Data & Pipeline workforce

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

Diagrammatic Monte Carlo–the use of stochastic methods to evaluate many-body perturbation expansions–is in a period of rapid development, with new methods organizing the perturbation theory …

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

Presenter: Bryan Kaye, Chief Executive Officer, CrossnoKaye An industrial automation company that develops control systems and algorithms that employ quantitative models of large facilities to optimize their energy …

Title: Methods for Studying Evolution The origin and evolution of life on our planet is a fundamental question in biology. Aside from being a natural curiosity, evolutionary studies …

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

This workshop, held in affiliation with the CNS*2019 conference, will bring together a diverse panel to discuss new advances and unanswered questions related to the identification and …

… SONG Exercises: Calculating second-order perturbations July 16, 2019 SONG Usage: Concept and structure of SONG July 16, 2019 CLASS Coding I: Essential rules and conventions specific …

This is a 3-week course in which we aim to 1) teach students the theoretical foundation of the techniques (weeks 1 and 2), 2) provide them with …

This course is designed to help neuroscience practitioners to develop the conceptual and practical capabilities to meet the challenges posed by the analysis of these hard-won and …

The purpose of the Organization for Computational Neurosciences is to create a scientific and educational forum for students, scientists, other professionals and the general public to learn about …

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

The Simons Collaboration on the Global Brain hosts a postdoc-focused NYC-area group meeting every other month to bring together postdocs interested in neural coding and dynamics …

… Giant exciton Fano resonances in Ta2NiSe5 July 12, 2019 Malte Roesner: Material-realistic modeling of Ta2NiSe5 July 12, 2019 Yukinori Ohta: Theoretical perspectives on an excitonic insulator …

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

Quantum Café is CCQ’s ongoing seminar series: open to all bona fide members of the greater NYC scientific community and held every second week, Quantum Café presents …

… code applies both to in-person behaviors and when using any communication channels, including social media. In addition, the code requires all staff, visitors, and participants to …

Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and …

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

Computational Approaches to Memory and Plasticity: We invite PhD students and Postdocs worldwide from all backgrounds to CAMP@ Bangalore. At this intensive 16 day course, students will be …

Our seminar focuses on efficient computational methods for numerical problems, mostly phrased in a mathematical language, arising in areas of science throughout the Institute and beyond.

Title: Hydrodynamics and taxis of microswimmers The habitats of microswimmers are crowded with obstacles, biofilms, predators and preys. Microorganisms have evolved to thrive in these environments, however, many …

The lectures (June) are especially meant for beginning machine learning practitioners. We provide a foundation in methods of Machine Learning but focus on its applications to real research …

CCA Summer School Lectures June 24, 2019 Luis Lehner: Numerical General Relativity June 24, 2019 Pascale Garaud: Introduction to Hydrodynamics (abridged) June 24, 2019 Evan Schneider: Numerical Hydrodynamics …