Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
willing to train junior scientists in the lab. - Familiarity with AI and robotics. Comprehension of common machine learning algorithms, data mining, image analysis, etc. - Familiarity with conducting
-
AI to predict safety outcomes for multiple targets and combination therapies Collaborate with research teams and data scientists to design data-driven strategies using machine learning/AI methods
-
moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
-
will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and engaging
-
moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
-
analytics in the areas of health care, social issues, text, and social media, and faculty members have developed key methodologies in data mining, social-network analysis and mathematical optimization
-
on P2 and P3 will be responsible for the following: sample collection or management, microbiome analysis, data processing, integration, synthesis, and modeling. Besides, the postdocs could participate in
-
the different types of systems and develop a core graph data system that can serve as a common building block. This way, redundancies in keeping multiple cop-ies of graph data in different systems could be