Sort by
Refine Your Search
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Cornell University
- New York University
- Stony Brook University
- SUNY University at Buffalo
- Brookhaven National Laboratory
- National Energy Technology Laboratory (NETL)
- Cold Spring Harbor Laboratory
- Loyola University
- Rochester Institute of Technology
- Saint Louis University
- 1 more »
- « less
-
Field
-
, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national
-
of academic success for a Post-Doctoral Associate position. The research will focus on the development and use of machine learning and advanced molecular dynamics techniques for molecular simulations and to
-
background. Demonstrated experience designing and building scientific instruments, including the integration of optical, electronic, mechanical, and computer-controlled subsystems. Hands-on expertise in one
-
Genome Curation Assistant (Jarvis ): an AI system that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting
-
for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized
-
. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine
-
practice-engaged research on how engineers learn, how engineering knowledge and identities are formed, how we assess and evaluate learning, and how educational systems can be designed and transformed
-
the group's core research areas, and a proven ability to conduct independent, high-impact research. Experience in cybersecurity for cyber-physical systems, digital twins, BIM, AI and machine learning
-
-physical systems, digital twins, BIM, AI and machine learning, robotics, or digital construction technologies is highly desirable. Strong programming and analytical skills, excellent written and verbal
-
modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes