A virtual Hot Topics workshop on Topological Insights in Neuroscience will be hosted by MSRI, May 3 – 7, 2021. The talks in this workshop will present a wide array of current applications of topology in neuroscience, including classification and synthesis of neuron morphologies, analysis of synaptic plasticity, algebraic analysis of the neural code, topological analysis of neural networks and their dynamics, topological decoding of neural activity, diagnosis of traumatic brain injuries, and topological biomarkers for psychiatric disease. Some of the talks will be devoted to promising new directions in algebraic topology that have been inspired by neuroscience.
Speakers include: • Ann Blevins (University of Pennsylvania) • Benjamin Dunn (NTNU)(TBC) • Daniela Egas Santander ( EPFL) • Tim Gentner (Univ. California, San Diego)(TBC) • Vladimir Itskov (Pennsylvania State University) • Lida Kanari (EPFL) • Matilde Marcolli (California Institute of Technology) • Ezra Miller (Duke University) • Konstantin Mischaikow (Rutgers University) • Alice Patania (Indiana University) • Jose Perea (Michigan State University) • Xaq Pitkow (Rice University)(TBC) • Manish Saggar (Stanford University School of Medicine) • Martina Scolamiero (Royal Institute of Technology (KTH)) • Tatyana Sharpee (The Salk Institute for Biological Studies) • Katharine Turner (Australian National University) • Bei Wang (University of Utah) • Yusu Wang (Univ. California, San Diego)
Registration is now open, on the workshop webpage. This workshop will be held online, in Pacific Standard Time. The Zoom link will be provided at a later time. You must register for the workshop to receive the password.
We look forward to welcoming you to the workshop!
Best wishes, Carina Curto, Chad Giusti, Kathryn Hess, and Ran Levi
A virtual workshop on Topological Data Analysis will be hosted by the new Institute for Mathematical and Statistical Innovation, April 26 – 30, 2021. This workshop will consist of a small number of plenary one-hour lectures by leading researchers in the field, a larger number of contributed short talks from early-career researchers, live demos of software, a problem session, and a poster session. The speakers will cover a wide range of topics, from theory to concrete applications of TDA in science and engineering. The goals of the workshop are to foster scientific interactions across the growing breadth of the applied topology community and to provide an opportunity for algebraic topologists, statisticians, and data scientists curious about this dynamic new field to learn more about it.
Confirmed speakers include: • Lorin Crawford (Microsoft Research New England) • Sara Kalisnik (Bentley University) • Facundo Memoli (Ohio State) • Ezra Miller (Duke University) • Anthea Monod (Imperial College London) • Elizabeth Munch (Michigan State University) • Vidit Nanda (University of Oxford) • Katharine Turner (Australian National University) • Yusu Wang (UC San Diego)
This third Berlin Thematic Einstein Semester is devoted to recent developments in the field of computational materials science. It aims to bring together experts from the sciences with experts from computational topology, computational algebraic, discrete differential and stochastic geometry working on the structure and function of materials.
The semester is organized within the framework of the Berlin Mathematics Research Center MATH+ and is supported by the Einstein Foundation Berlin.
With the framework of the International Training Network CANCERPREV, I will supervise a PhD student to work on a project concerning “Detection of cyclic changes in gene expression by topological data analysis”. The student will most probably be affiliated with our new PhD program in computational biology.
Interested potential candidates are encouraged to contact me for more information. The application deadline is December 15. Further information about how to apply can be found here.
The School of Engineering of EPFL in Switzerland is pleased to announce the 2nd edition of the annual Engineering PhD Summit, a workshop for final year PhD students. This year the summit will focus on “Intelligent Systems”, i.e., software and/or hardware systems that can interact with their dynamic environments, process data, perform proper actions, and improve over time, see https://phdsummit.epfl.ch/intelligent-systems/
Workshop dates: October 2-4, 2019
Deadline for application: May 31st, 2019
Top final year PhD students from around the world are invited to apply. Up to 20 candidates will be selected on a very competitive basis and invited to EPFL Switzerland, where they will get the opportunity to present their research and get informal feedback from top faculty members. Each accepted student will be given the opportunity to visit EPFL laboratories related to the summit theme and have intensive exchange with the lab head and the students. The PhD Summit prize for the best presentation and research content will be awarded at the end of the workshop. Funds for travel and accommodation will be provided for the selected candidates.Visit the Engineering PhD Summit website: https://phdsummit.epfl.ch/
The math department at EPFL has just announced the following search for a tenure-track assistant professor of statistics, which may be of interest to the more statistically minded subscribers to this page.
The Institute of Mathematics of the School of Basic Sciences at EPFL invites applications for a Tenure Track Assistant Professorship in Statistics. In exceptional cases, appointment at the senior level may be considered.
We seek outstanding candidates with research interests in the development and application of novel statistical methodology,including candidates focussing on a substantive application area. Indicative methodological interests include large scale and causal inference, computationally intensive inference, and nonparametric inference. Indicative areas of application include, but are not limited to, biomedical science, genetics/genomics, environmental and earth science, physics and astronomy.
The EPFL has decided to make a considerable investment in computational biology over the next few years. As part of that effort, we are currently recruiting a tenure-track assistant professor or associate professor in computational biology.
The person recruited for this person does not have to be a biologist per se, but could be a mathematician, physicist, or computer scientist with strong interest in and considerable experience with applications to biology.
For further information, please see the official announcement. Note that the application deadline is January 15.