Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Stanford University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Princeton University
- Texas A&M University
- KINGS COLLEGE LONDON
- Bowdoin College
- Carnegie Mellon University
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- University of Oxford
- ;
- New York University
- Argonne
- Brookhaven Lab
- Duke University
- Heriot Watt University
- Technical University of Munich
- UNIVERSITY OF VIENNA
- University of Bergen
- University of Luxembourg
- University of Washington
- AALTO UNIVERSITY
- Brookhaven National Laboratory
- CWI
- Empa
- King's College London
- Leibniz
- Linköping University
- Medical College of Wisconsin
- Northeastern University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- University of California Berkeley
- University of Connecticut
- University of Minnesota
- University of Oregon
- University of Oslo
- University of Sydney
- Virginia Tech
- ; Xi'an Jiaotong - Liverpool University
- Aalborg University
- Aarhus University
- Aix-Marseille Université
- Bar Ilan University
- Baylor College of Medicine
- Boston University
- CNRS
- Case Western Reserve University
- Chalmers University of Technology
- Cold Spring Harbor Laboratory
- Consortium Virome@tlas
- Cornell University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- Ecole Centrale de Lyon
- Emory University
- Forschungszentrum Jülich
- French National Research Institute for Sustainable Development
- Georgia State University
- INSERM U1183
- Imperial College London
- Institut Pasteur
- Johns Hopkins University
- Loyola University
- Massachusetts Institute of Technology
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- McGill University
- NTNU - Norwegian University of Science and Technology
- Nencki Institute of Experimental Biology
- Northumbria University;
- Purdue University
- Rutgers University
- Texas A&M AgriLife
- The Ohio State University
- The University of Arizona
- The University of Iowa
- The University of Memphis
- UNIS
- Umeå University
- University of Antwerp
- University of Cambridge;
- University of Central Florida
- University of Colorado
- University of Denver
- University of Florida
- University of Lincoln
- University of London
- University of Lund
- University of Maine
- University of Manchester
- University of Maryland
- University of Miami
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of Oxford;
- University of Saskatchewan
- 90 more »
- « less
-
Field
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
-
, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
-
. You have a background in machine learning for spatial data (e.g., random forest, neural networks) or are open acquiring these skills. You have experience with handling large geospatial datasets and
-
learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
-
are also developing novel machine learning methods to improve risk gene prediction and variant interpretation. This role will focus on the analysis of large-scale human genetics, scRNAseq, and proteomics
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
-
vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role
-
chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing