All Paid Courses (Free for First 4500 People)
𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
(72 Hours only )
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Economics Faculty Positions at DePaul University and Yale University
1. Assistant Professor of Business & the Environment, Sustainable Finance, or Environmental Markets
Deadline: Nov 30, 2026 at 11:59 PM Eastern Time
2. Term Faculty (Non-Tenure Track) - Economics at DePaul University
Salary Range or Pay Grade: $107,000 - $120,000
https://t.co/XOGxgUirOH
Two-Year Postdoctoral Research Position in Research Group “Politics and Inequality” at the University of Zurich
Deadline Application: August 9, 2026
https://t.co/GhCgKpHTg2
📢 REQUEST FOR PROPOSALS - THE MACROECONOMIC FOUNDATIONS OF GROWTH AND PRODUCTIVITY IN SOUTH AFRICA
Proposal submission deadline: 31 August 2027
Learn more: https://t.co/JB4CEgF6Sc
🗺️ FREE GIS seminar for researchers TOMORROW!
Learn about GIS, spatial data analysis, visualization & software tools with Dr. Nick Bearman. Perfect for PhD students, researchers & academics looking to add a spatial dimension to their work! https://t.co/9UxrjMGHiI @InstatsS#GIS
Benchmarks are saturated more quickly than ever. How should frontier AI evaluations evolve? In a new paper, we argue that the AI community is already converging on an answer: Open-world evaluations. They are long, messy, real-world tasks that would be impractical for benchmarks.
We are hiring a senior researcher for our AI evaluation projects. You will lead open-ended evaluations of frontier AI on challenging tasks. We value demonstrated expertise in leading and executing on projects more than a PhD. We are reviewing applications on a rolling basis. 🧵
Senior Economist, Antitrust & Competition at BRG (Berkeley Research Group).
PhD plus 3+ years of experience.
Salary disclosed at $200,000 - $300,000.
Work on cross-border merger analysis, regulatory proceedings, and litigation support.
Full posting: https://t.co/v5eYgD6Cua
* What exactly do economists do?
• Is a PhD in economics the right path for me?
• How should I prepare and apply?
Professor Abdoulaye NDIAYE (NYU Stern School of Business) has put together a practical guide that addresses these questions and more.
📄 Free to access: https://t.co/7IooAwEOM6
Thrilled to share that I am joining UC Berkeley as an Assistant Professor in the School of Information!
I start in Fall 2027, and I am recruiting PhD students this cycle. List me in your application if you're interested in frontier AI evaluation, AI policy, and AI's impacts on institutions such as science, law, and medicine.
I'm especially keen to work with students interested not just in high-quality research, but also in communicating it with a broad audience such as by public writing and policy impact. Fill out the form in the next tweet to indicate your interest.
As for this coming year, I'm moving to Berkeley this fall to start something new with @RishiBommasani and @random_walker. We'll have much more to share soon.
🚨 Cambridge just dropped 10 FREE AI & ML textbooks (quietly).
University-level. Zero cost. Absolute gold for builders & learners.
Here’s the list with direct links 🧵👇
1️⃣ Understanding Machine Learning
Theory meets algorithms
https://t.co/H1guFgRgyG
2️⃣ Mathematics for ML
Linear algebra → calculus made intuitive
https://t.co/POqq7QAfdG
3️⃣ Mathematical Analysis of ML
The theory behind the code
https://t.co/yvHqLt7He2
4️⃣ Deep Learning Principles
Neural networks explained clearly
https://t.co/2fXjWfqjdA
5️⃣ ML with Networks
Neurons → backpropagation
https://t.co/R7wiBieIwn
6️⃣ Deep Learning on Graphs
Graph Neural Networks & modern architectures
https://t.co/iBbz47Ci0v
7️⃣ Algorithmic ML
Complexity & optimization theory
https://t.co/QHe9d9uOtV
8️⃣ Probability Theory
Statistical foundations with examples
https://t.co/pADnRozlJb
9️⃣ Elementary Probability
Beginner-friendly + real-world use
https://t.co/93SZjKjTtx
🔟 Advanced Data Analysis
Statistical learning for production systems
https://t.co/L6uVmN2L3U
💡 Free textbooks. Cambridge quality.
Perfect for students, engineers & AI builders.
Save 🔖 | Repost ♻️ | Follow for more AI resources 🤝
#AI #MachineLearning #DeepLearning #FreeResources #DataScience #StudyAI
IDEA on the World Bank's Development Impact blog. Board member Owen Ozier introduces the association — why development economics needs a global professional home, and what IDEA is building. Read it, then join us: https://t.co/DPweWKcDBR
https://t.co/euk9x4srnO
📣 Call for Convenor: Creativities in Education SIG
This SIG offers a space to discuss and interact on matters of interest pertinent to creativity in education.
Find out more: https://t.co/FwhLOL17U0
🇬🇭The Black Stars have ascended to 65th position, eight places up after adding 33.83 points to increase their overall tally to 1380.71 on the latest FIFA rankings.
#2026WorldCupOnGBC#2026FIFAWorldCup#GTVSports
Yüksek lisans/doktora teziniz veya makaleniz için özgün bir konu bulmaya çalışıyorsanız, alternatif bir yapay zekâ aracını sizinle paylaşmak isterim: https://t.co/FVivmDItLv
Öncelikle uygulamanın çalışma prensibinden bahsedeyim. Uygulamaya girip ilgilendiğiniz konuyla ilgili birkaç makaleyi seçiyorsunuz ve Research Rabbit, bu makalelerin kaynakçalarını, bu makalelere yapılan atıfları ve ortak yazarları analiz ederek sizi konunuzla ilgili başka diğer makalelere yönlendiriyor. Siz, bu makaleler arasından yenilerini seçtikçe, algoritma ilgi alanınızı daha iyi öğreniyor ve önerileri daha rafine bir hale getiriyor.
Bu işlem sayesinde odaklanılmış konuları görmekle birlikte, birbiriyle ilişkilendirilmemiş alanları da görebiliyoruz. Mesela, tamamen sizin için örnek olması maksadıyla oluşturduğum aşağıdaki görselde; literatür boşluğu sağ üst veya sağ alt kısımdaki izole, yani hiçbir çalışmayla ilişkilendirilmemiş makalelerde saklı olabilir. Açıp okumak lazım.
Herkesin atıf yaptığı makaleler, teorik çerçeve ve kuramsal zemin için elbette şart ama yeni bir şeyler söylemek istiyorsak, farklı mecralar keşfetmek zorundayız. Bu konuda Research Rabbit’i deneyebilirsiniz.
📍Bu paylaşımım hesabımdaki diğer yapay zekâ araçları tanıtımında olduğu gibi, herhangi bir sponsorluk ya da ticari bir işbirliği değildir. Sadece bizzat deneyimlediğim akademik verimliliği artırdığına inandığım araçları araştırmacılara yol gösterme niyetiyle paylaşmaktayım.
All Paid Courses (Free for First 4500 People)
𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘�� (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
(72 Hours only )
Like + RT + comment ' Drive '
Must Follow me so I can DM you.
RA opening at @warwickecon
Work with urban economists @AmritaKulka and Nikhil Datta on a UK Housing and Planning System project & help develop policy recommendations and communications to policy, media and civil society stakeholders.
Apply: https://t.co/AkL9eOV2UX