Sort by
Refine Your Search
-
learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
-
separation processes. Strong attention to detail, excellent organizational skills, and exceptional verbal and written communication abilities are essential. The candidate should be capable of working both
-
boundaries coevolve in multiplex communities; how attribute- and opinion-based cues shape insider/outsider categorization, intergroup relations, and social cohesion; and how to design interventions
-
frameworks such as PyTorch or TensorFlow. Excellent communication and collaboration skills, with the ability to work effectively in an interdisciplinary research environment. For consideration, applicants need
-
to existing open-source engines. Publish in top-tier conferences (SIGMOD, VLDB, PODS, ICDE, ICDT, etc.) and participate in the wider research community. Mentor students and contribute to a vibrant research
-
cooperation with historical sociologists and economists. An experience in community outreach will add another hefty plus to such candidate. The position does not require teaching, but it may be possible to get
-
Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications
-
models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing
-
research environment. Outstanding written and verbal communication skills are essential. The terms of employment are very competitive and include housing and educational subsidies for children. Applications
-
, speech, images, and physiological signals. Preferred Experience: The lab highly values candidates with one or more of the following experiences: Human-Centered Applications: Familiarity applying ML in