Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Carnegie Mellon University
- The University of Chicago
- University of Cambridge
- Nature Careers
- University of Newcastle
- Cornell University
- DAAD
- Imperial College London
- Radix Trading LLC
- Arizona State University
- Binghamton University
- Brookhaven Lab
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Liverpool John Moores University
- Luxembourg Institute of Socio-Economic Research (LISER)
- MedUni Vienna
- National Institute for Bioprocessing Research and Training (NIBRT)
- Technical University of Denmark
- Technical University of Munich
- The Ohio State University
- The University of Iowa
- Trinity College Dublin
- University of Birmingham
- University of Glasgow
- University of Liverpool
- University of Luxembourg
- University of Oxford
- University of Sheffield
- University of Utah
- Vrije Universiteit Brussel
- Wageningen University & Research
- 23 more »
- « less
-
Field
-
the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
-
the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
-
the broader community. You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in
-
cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
-
partner organizations in Kenya. Qualifications: Expertise in a relevant discipline (e.g., epidemiology, ecology, nutrition, economics) with PhD conferred by the start of the position Demonstrated expertise
-
alongside longstanding regional partner organizations in Kenya. Qualifications: Expertise in a relevant discipline (e.g., epidemiology, ecology, nutrition, economics) with PhD conferred by the start of
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
field. Experience: At least three years of strong record of research productivity in machine learning and artificial intelligence. Expertise in AI/ML and interests in business and policy applications
-
Overview Nature offers a mechanism - called homeostasis - by which life forms can maintain their physical integrity and well being. On the other hand, a series of machines, including robots, cannot
-
validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type