Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Stanford University
- Carnegie Mellon University
- EPFL
- Oak Ridge National Laboratory
- Texas A&M University
- Bowdoin College
- Cornell University
- Harvard University
- Princeton University
- University of Washington
- Aarhus University
- Chalmers University of Technology
- NEW YORK UNIVERSITY ABU DHABI
- University of Luxembourg
- University of North Carolina at Chapel Hill
- Eindhoven University of Technology (TU/e)
- University of Oxford
- Yale University
- FAPESP - São Paulo Research Foundation
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- SciLifeLab
- Umeå University
- Utrecht University
- CNRS
- Duke University
- King's College London
- Leiden University
- Pennsylvania State University
- Technical University of Munich
- University of Lund
- Aalborg University
- Argonne
- Brookhaven National Laboratory
- Computer Vision Center
- Durham University
- ETH Zürich
- Human Technopole
- KTH Royal Institute of Technology
- Lunds universitet
- Maastricht University (UM)
- Northeastern University
- Queen Mary University of London
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of Florida
- University of Minnesota
- University of Turku
- VIB
- Vrije Universiteit Brussel
- Wageningen University & Research
- ;
- Bar Ilan University
- Bournemouth University;
- Campbell University
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Central European University
- Copenhagen Business School
- East Carolina University
- Ellison Institute of Technology
- Forschungszentrum Jülich
- HITS gGmbH
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Berlin für Materialien und Energie GmbH
- Helmholtz-Zentrum Hereon
- ICN2
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London
- Imperial College London;
- Institut Pasteur
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Istituto Italiano di Tecnologia
- KU LEUVEN
- Lancaster University
- Linköping University
- Loyola University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Massachusetts Institute of Technology
- Max Planck Institute for Physics, Garching
- McGill University
- Mohamed bin Zayed University of Artificial Intelligence
- Nencki Institute of Experimental Biology
- New York University
- Norwegian University of Life Sciences (NMBU)
- PONS Fudan
- Purdue University
- Queen Mary University of London;
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- Saarland University
- Saint Louis University
- Tufts University
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidade de Sao Paulo
- Universitat de les Illes Balears
- Universiteit Leiden
- University College Cork
- University of Amsterdam (UvA)
- 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
-
Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
-
design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI
-
, applied mathematics, or a closely related discipline, with previous experience in statistical and machine learning methods and knowledge in basic biology. Applicants close to completion of their PhDs will
-
, 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
-
of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing
-
in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists
-
into real impact. At the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from
-
traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where possible. This innovative new approach enables more efficient and
-
of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models