Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Assistant. This position will work with research projects pertaining theoretical computer science, specifically graph algorithms and fine-grained complexity. Analyze, record and assess data. Write and test
-
Computational Biology Department (CBD) is renowned for its interdisciplinary approach to studying biological systems using computational methods. Faculty and researchers collaborate across fields such as computer
-
Design and apply deep reinforcement learning algorithms for online HVAC control in greenhouses and for data mapping with multi-robot systems. Implement and test algorithms in simulation and
-
Computational Biology Department (CBD) is renowned for its interdisciplinary approach to studying biological systems using computational methods. Faculty and researchers collaborate across fields such as computer
-
progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
-
Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments. Modeling dynamical systems
-
for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
-
for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
-
, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In