Chile será el centro de la ciencia en enero de 2026.
Del 11 al 24 de enero, Santiago acogerá la CERN School of Computing – Latin America 2026, organizada por CERN
👉 Postulaciones abiertas hasta el 1 de octubre de 2025: https://t.co/0r4B0hnNMK
📢Call for applications!
Join the ICFO-UNAM-Uniandes Frontiers Research School on #Photonics for Quantum Science and Technology.
🏡Accommodation provided to all accepted participants
🌍Open to young researchers worldwide
📅Sept 2025, UNAM
🔗Apply: https://t.co/8LPfSjTLzg
¡Orgullo Yachay Tech! 🇪🇨✨
Valentina Padilla, estudiante de Matemáticas, ha sido seleccionada entre las 10 mujeres a nivel mundial por su excelencia académica.
🎓 Estudiará en la Universidad Paris-Saclay (Francia)
Lee la nota:
https://t.co/LD2FOdTCyO
Tenemos el agrado de invitar a profesor@s universitarios, técnic@s docentes e investigador@s a participar del curso de capacitación "Bootcamp de Procesamiento de Imágenes con Inteligencia Artificial"
¡Últimos cupos! Más información: https://t.co/4kRsbQJVx4
Tenemos el agrado de invitar a profesor@s universitarios e investigador@s a participar de la capacitación "Bootcamp de Procesamiento de Imágenes con Inteligencia Artificial", que se realizará en el campus de Yachay Tech (7 - 25 de julio ). Más información: https://t.co/FyFtoASDxs
It's time to announce the upcoming KITP research programs for 2026-27, developed in collaboration with our Advisory Board and the international physics community.
Explore the 2026-2027 programs and apply at: https://t.co/zZ2IxqdOx9.
Applications are open now!
Free Certification Courses to Learn Data Analytics in 2025:
1. Python
🔗 https://t.co/dIF8TuaOLu
2. SQL
🔗 https://t.co/Ge4bFjars9
3. Statistics and R
🔗 https://t.co/41ya4HlxPS
4. Data Science: R Basics
🔗https://t.co/56xixoYoMg
5. Excel and PowerBI
🔗 https://t.co/oWULVWbQPg
6. Data Science: Visualization
🔗https://t.co/eQ7buwP4QU
7. Data Science: Machine Learning
🔗https://t.co/RYTIF3cocp
8. R
🔗https://t.co/aPvThGhFHw
9. Tableau
🔗https://t.co/94KUoem3Bf
10. PowerBI
🔗 https://t.co/gOV6kIG2kQ
11. Data Science: Productivity Tools
🔗 https://t.co/0fvxcgIQ4W
12. Data Science: Probability
🔗https://t.co/J0eC5jlOGX
13. Mathematics
🔗https://t.co/b62getHyo7
14. Statistics
🔗 https://t.co/Y82ToFqsFs
15. Data Visualization
🔗https://t.co/Yz8e2T6mdn
16. Machine Learning
🔗 https://t.co/VoHcNGJvfC
17. Deep Learning
🔗 https://t.co/TY3cjGHXdK
18. Data Science: Linear Regression
🔗https://t.co/5N2UOWUgxw
19. Data Science: Wrangling
🔗https://t.co/zTsUAAn1hE
20. Linear Algebra
🔗 https://t.co/UPNbNapSf0
21. Probability
🔗 https://t.co/UdOPPPyYJ8
22. Introduction to Linear Models and Matrix Algebra
🔗https://t.co/3hOAvinvhe
23. Data Science: Capstone
🔗 https://t.co/ac8w6CLS9T
24. Data Analysis
🔗 https://t.co/tKh5FYjMRM
25. IBM Data Science Professional Certificate
https://t.co/gFsFS3B6zu
26. Neural Networks and Deep Learning
https://t.co/SPyU710NvG
27. Supervised Machine Learning: Regression and Classification
https://t.co/ATOsYimRAJ
🎓 La Escuela de Ciencias Físicas y Nanotecnología abre convocatoria para un Profesor Ocasional 2 en el área de Física Teórica o Aplicada.
📅 Inicio de labores: 11 de agosto de 2025
📨 Postula hasta el 2 de julio de 2025 al correo: [email protected]
📣
La Escuela de Ciencias Físicas y Nanotecnología abre convocatoria para contratar un Profesor Ocasional 1 en el área de Física Teórica o Aplicada.
📅 Inicio: 11 de agosto de 2025
📨 Postulación hasta el 2 de julio de 2025 al correo: [email protected]
"The Rising Sea: Foundations of Algebraic Geometry"
by Ravi Vakil
https://t.co/2zCrLhtZBT
see the pdf notes provided by the Author:
https://t.co/mVQephQMdL
Causation is central to the (social) sciences. And, as these two great introductions to the large literature on causation show, there are different approaches to causation.
On Illari & @federicarusso: https://t.co/MqIP6R1sxM
On the Handbook: https://t.co/Y52pRAnFes
Time Series Analysis with Spark — A practical guide to master the fundamentals of processing, modeling, and forecasting time series with Apache Spark: https://t.co/Va5xWfL4M6 by Databricks Senior Solutions Architect Yoni Ramaswami, via @PacktDataML#ad
𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
🟠Quickly get started with your first models and explore the potential of Generative AI
🟠Learn how to use Apache Spark and Databricks for scalable time series solutions
🟠Establish best practices to ensure success from development to production and beyond
🟠Purchase of the print or Kindle book includes a free PDF eBook