702 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Harvard University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
on projects at the intersection of computational neuroscience and machine learning. This position is part of a multi-investigator grant on the role of memory in intelligence systems. The Postdoctoral Fellow
-
, flexibility, and creative problem-solving are essential. Strong computer skills, including proficiency in Excel, and ability to quickly learn new technology. Additional Information Standard Hours/Schedule: 40
-
-grad or MS level with a desire to research and learn more about biomedical research, multi-omic integration analytics and machine learning. In this role you will produce highly impactful biomedical
-
. Rather than being tied to a single lab, the RSE will provide shared, cross-project engineering support—helping multiple teams accelerate discovery by building and optimizing machine learning infrastructure
-
, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
-
Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
-
where innovation, continuous learning, and work-life balance are valued. Learn more about the School’s mission, objectives, and core values , our Principles of Citizenship , and about the Dean’s AAA
-
performance enhancement. The Postdoctoral Researcher will coordinate and lead a research project at the intersection of wearable sensing, controls, machine learning, AI, robotics, and movement science. They
-
vacuums. Empties and cleans trash and recycling receptacles and moves trash and recyclables to designated pick-up points. Strips, waxes and burnishes floors using power floor machines. Operates heavy-duty
-
diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership