Sort by
Refine Your Search
-
support, patient care and to maintain the efficient effective workflow of the implant center. Job responsibilities include: Receive, examine, inventory and distribute clinical supplies/equipment. Use and
-
, invitation design and distribution, event promotion, venue and physical setup configuration, program logistics, catering, entertainment, photography, and decorations. Serve as the primary point of contact and
-
supporting health outcomes and clinical research. It is estimated that administrative leadership and service will encompass 40-50% of the faculty member’s effort distribution. Teaching: The faculty member will
-
staff. Coordinate meeting logistics including scheduling, material preparation, and agendas for MEERI and the Learning Sciences and Educational Success Program (this may include scheduling debriefing
-
at the cutting edge of systems and systems research, including but not limited to computer architecture and hardware, distribution systems and networks, edge computing, embedded systems, mobile computing, and
-
algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
-
, managing AI infrastructure, and optimizing distributed model training and inference. The IAD at the University at Buffalo is a leader in advancing AI, data science, and computational research. IAD fosters
-
engineering; computer vision and multimedia systems; database systems; document analysis and recognition; programming languages; high-performance computing; cybersecurity; embedded, networked and distributed
-
; programming languages; high-performance computing; cybersecurity; embedded, networked and distributed systems; machine learning and artificial intelligence; connected and autonomous vehicles and sustainable
-
language models (LLMs), computer vision models, speech models, time series models, and many other related machine learning models, managing AI infrastructure, and optimizing distributed model training and