Fall 2023 and Spring 2024
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Visit us at www.ustars.org to apply and for more information about current and past USTARS events.
USTARS is an annual conference where students at all stages in their research present their work, form research and social support networks with other mathematicians, and learn about related research and professional options. Presenters at USTARS give 20-minute research talks on various topics in the fields of topology and algebra. As this year’s Invited Faculty Speaker, Dr. Alex Barrios of the University of St. Thomas will give the keynote address.
This symposium provides an invaluable opportunity for students who have not yet chosen a research topic, or have switched areas of study, to learn about potential research topics. In addition to the student lectures, a poster session highlights undergraduate research and graduate research. Apply before February 1st, 2024 to present and/or be considered for full funding.
If you have any questions, please reach out! ustars.organizers@gmail.com .
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The realm of code-based cryptography intertwines with several intriguing research paths, including multivariate and lattice-based cryptography. At the upcoming CBCrypto 2024 workshop, our aim is to further explore these connections and progress collectively.
In light of this, we are excited to announce our invited speakers:
Simona Samardjiska (Radboud University)
Alexander May (Ruhr-University Bochum)
The submission deadline for contributed talks is on February 16 and full papers may be submitted to the post-conference proceedings in Springer‘s LNCS series.
For more information please check our website:
https://www.cb-crypto.org
or follow us on twitter: https://twitter.com/CBCrypto_WS
We are looking forward to seeing many of you in May!
Violetta Weger (Technical University of Munich)
Anna-Lena Horlemann (University of St. Gallen)
Jean-Christophe Deneuville (Ecole Nationale de l'Aviation Civile)
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The AI Innovators Fellowship in Machine Learning equips students with state-of-the-art machine learning techniques like Unsupervised Learning, Natural Language Processing, Convolutional Neural Networks, and more. Leveraging these new tools, students build out a professional portfolio with capstone projects such as object detection for autonomous vehicles and sustainability improvements that draw on their unique interest and domain expertise. Please find more information about relevant projects here and apply here. Feel free to contact program coordinator Jared at programs@inspiritinnovator.com with any questions
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This Job Announcement will remain open until a sufficient number of applications are received
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First 5,000 students who sign up get it free! This tool may help graduate and undergraduate students! Regsiter for it here!
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The AI Innovators Fellowship in Machine Learning equips students with state-of-the-art machine learning techniques like Unsupervised Learning, Natural Language Processing, Convolutional Neural Networks, and more. Leveraging these new tools, students build out a professional portfolio with capstone projects such as object detection for autonomous vehicles and sustainability improvements that draw on their unique interest and domain expertise. Please find more information about relevant projects here and apply here. Feel free to contact program coordinator Jared at programs@inspiritinnovator.com with any questions
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This Job Announcement will remain open until a sufficient number of applications are received
.
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Few activities are as intellectually rewarding as research. In addition to the acquisition of invaluable research skills, students will:
Undergraduate research can take place in every discipline. It is especially common in the life sciences and physical sciences, where an estimated 40 percent of students nationwide engage in research under faculty mentorship; it is also found in the humanities, social sciences, and creative and performing arts.
To learn more about the transferable skills that can be developed through research, please click here!
