Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
motivated candidate with: A PhD (or be close to completion in exceptional cases) in molecular biology, cell biology, biochemistry, or a related field. Strong theoretical background and extensive hands
-
conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
-
; developing and optimizing doping protocols for conjugated polymers and other organic semiconductors; correlating materials chemistry and microstructure with electronic performance; implementing the resulting
-
intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro-symbolic and context-aware reasoning
-
experimentally and making a difference in the areas of materials and manufacturing, we look forward to receiving your application. About the research project The position is focused on development of robust AM and
-
: - Distributed robotic autonomy for embodied intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro
-
difference in the areas of materials and manufacturing, we look forward to receiving your application. About the research project The position is focused on development of robust AM and post-AM processing
-
teaching are conducted within seven divisions with different research focus. Read more about us here About the division The Division of Biomedical Engineering is part of the Department of Materials Science
-
through the department’s involvement in engineering and master’s programs. Our research and teaching are conducted within seven divisions with different research focus. Read more about us here About the
-
disturbances (e.g., generator outages, transmission line failures, or system separations) Developing methodologies for optimally allocating these services based on the characteristics, availability, and