Research Position at the Center for Information Systems and Data Science, Sharif University in Collaboration with a Top-Three Global Institution or medical university school in Bioinformatics.
Projects Descriptions:
1. Utilizing Large Language Models and Retrieval-Augmented Generation (RAG): Applying knowledge graph in medicine, inspired by Stanford University's work.
2. Predicting Profiles for Protein Sequences Using Natural Language Processing: Leveraging the performance of transformers in natural languages by treating protein sequences as a language, similar to Microsoft's research.
3. Applying Manifold Learning and Riemannian Geometry in Protein Dynamics Analysis: Designing and predicting the effects of protein dynamics using approaches akin to those from Cambridge University.
✅Requirements: A bachelor's and master's student with strong implementation skills and clean coding in artificial intelligence, capable of reading and analyzing new Bioinformatics papers, ideating and extensively testing with well-known deep and reinforcement learning architectures, and possessing intermediate Bioinformatics or biology knowledge.
💥This project will be conducted in collaboration with three professors from Sharif University's Computer and Electrical Engineering faculties and supervised by a senior scientist from one of the top three universities in the United States.
🆔To apply and submit your CV, please contact via email with the subject line "Research Position in Bioinformatics": [email protected]
Research Position at the Center for Information Systems and Data Science, Sharif University in Collaboration with a Top-Three Global Institution or medical university school in Bioinformatics.
Projects Descriptions:
1. Utilizing Large Language Models and Retrieval-Augmented Generation (RAG): Applying knowledge graph in medicine, inspired by Stanford University's work.
2. Predicting Profiles for Protein Sequences Using Natural Language Processing: Leveraging the performance of transformers in natural languages by treating protein sequences as a language, similar to Microsoft's research.
3. Applying Manifold Learning and Riemannian Geometry in Protein Dynamics Analysis: Designing and predicting the effects of protein dynamics using approaches akin to those from Cambridge University.
✅Requirements: A bachelor's and master's student with strong implementation skills and clean coding in artificial intelligence, capable of reading and analyzing new Bioinformatics papers, ideating and extensively testing with well-known deep and reinforcement learning architectures, and possessing intermediate Bioinformatics or biology knowledge.
💥This project will be conducted in collaboration with three professors from Sharif University's Computer and Electrical Engineering faculties and supervised by a senior scientist from one of the top three universities in the United States.
🆔To apply and submit your CV, please contact via email with the subject line "Research Position in Bioinformatics": [email protected]
Spiking bond yields driving sharp losses in tech stocks
A spike in interest rates since the start of the year has accelerated a rotation out of high-growth technology stocks and into value stocks poised to benefit from a reopening of the economy. The Nasdaq has fallen more than 10% over the past month as the Dow has soared to record highs, with a spike in the 10-year US Treasury yield acting as the main catalyst. It recently surged to a cycle high of more than 1.60% after starting the year below 1%. But according to Jim Paulsen, the Leuthold Group's chief investment strategist, rising interest rates do not represent a long-term threat to the stock market. Paulsen expects the 10-year yield to cross 2% by the end of the year.
A spike in interest rates and its impact on the stock market depends on the economic backdrop, according to Paulsen. Rising interest rates amid a strengthening economy "may prove no challenge at all for stocks," Paulsen said.
NEWS: Telegram supports Facetime video calls NOW!
Secure video calling is in high demand. As an alternative to Zoom, many people are using end-to-end encrypted apps such as WhatsApp, FaceTime or Signal to speak to friends and family face-to-face since coronavirus lockdowns started to take place across the world. There’s another option—secure communications app Telegram just added video calling to its feature set, available on both iOS and Android. The new feature is also super secure—like Signal and WhatsApp and unlike Zoom (yet), video calls will be end-to-end encrypted.
