update profile

index.html

@@ -73,6 +73,10 @@ <h1 style="margin-top: 0em">Home</h1><br>
     <!-- <li><p>To UoM undergraduate students. I typically supervise one student on the <a href="https://handbook.unimelb.edu.au/subjects/scie30001">Science Research Project (SCIE30001)</a> each year. You should have good GPA (math and computing courses) and Python coding experience.</p></li> -->
     <li><p>To undergraduate students. Due to my current heavy supervisory commitments, I am unable to take on undergraduate students at this time. </p></li>
     <li><p>To visiting scholar/PhD students. Please drop me an email if your research area overlaps with mine.</p></li>
+    <b>Multiple RA/intern positions on theory and applications of causal & generative models are available within my group at MBZUAI. Interested candidates with strong relevant background are encouraged to apply.</b>
+
+<br> </font></p >
+
     </ul>
     <div>
     <h2><hr><a name="research"></a>Research Interests</h2>
@@ -81,14 +85,14 @@ <h2><hr><a name="research"></a>Research Interests</h2>
 
     </p>
     <ul>
-    <li><p>  Causality: Causal Discovery & Inference, Causal Fairness, Causal Reinforcement Learning, Federated Causal Learning</p></li>
+    <li><p>Causality: Causal Discovery & Inference, Causal Fairness, Causal Reinforcement Learning, Federated Causal Learning</p></li>
     <li><p>Deep Learning: Deep Generative Model, Multi-Modal Learning, Transfer Learning, Weakly-Supervised Learning</p></li>
     <li><p>Applications: Image/3d/video generation, object detection/segmentation, 3D reconstruction, protein analysis, financial time series forecasting, etc.</p></li>
     </ul>
     </div>
         <h2><hr><a name="news"></a>Recent Updates</h2>
         <ul>
-          <li><p> 11/2023, we are honored to receive an ARC discovery project to work on federated causal inference. Postdoc and PhD positions are available!
+          <li><p> 11/2023, we are honored to receive an ARC discovery project to work on federated causal inference. 
           <li><p> 09/2023, congratulations to Yuanyuan on her first NeurIPS paper! Additionally, four collaborative papers got accepted, congrats to the team! </p></li> 
           <li><p> 07/2023, congrats to Dongting and Ziye for their papers accepted to ICCV 2023. </p></li> 
           <li><p> 10/2022, congrats to Erdun for his paper on federated DAG learning accepted to TMLR. </p></li>