Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of Oxford
- Stanford University
- New York University
- NEW YORK UNIVERSITY ABU DHABI
- ;
- Cornell University
- Loyola University
- Technical University of Denmark
- Argonne
- Brookhaven Lab
- Princeton University
- Bowdoin College
- Duke University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of North Carolina at Chapel Hill
- Medical College of Wisconsin
- Yale University
- Rutgers University
- Stony Brook University
- Texas A&M University
- KINGS COLLEGE LONDON
- Oak Ridge National Laboratory
- Technical University of Munich
- University of Kentucky
- University of Southern Denmark
- Chalmers University of Technology
- National Renewable Energy Laboratory NREL
- The Ohio State University
- University of London
- University of Lund
- University of Texas at Arlington
- Utrecht University
- Aarhus University
- Carnegie Mellon University
- Georgia Southern University
- Heriot Watt University
- The University of Arizona
- University of Groningen
- University of Minnesota
- University of Oslo
- University of South Carolina
- University of Tübingen
- Virginia Tech
- AALTO UNIVERSITY
- European Space Agency
- Leibniz
- Northeastern University
- Pennsylvania State University
- SUNY University at Buffalo
- University of Cambridge
- University of Maine
- University of Miami
- VIB
- Villanova University
- Baylor College of Medicine
- CWI
- Empa
- Institut Pasteur
- King's College London
- Linköping University
- McGill University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University College Cork
- University of Antwerp
- University of Luxembourg
- University of Maryland
- University of Texas at Dallas
- University of Virginia
- ; Xi'an Jiaotong - Liverpool University
- Brookhaven National Laboratory
- Cold Spring Harbor Laboratory
- Durham University
- Forschungszentrum Jülich
- Illinois Institute of Technology
- Imperial College London
- King Abdullah University of Science and Technology
- Purdue University
- Royal College of Art
- Ryerson University
- The University of Iowa
- University of Bergen
- University of British Columbia
- University of California Berkeley
- University of Central Florida
- University of Colorado
- University of Connecticut
- University of Florida
- University of Massachusetts
- University of Nebraska Medical Center
- University of North Texas at Dallas
- University of Oregon
- Washington State University
- ; Maastricht University
- ; Nagoya Institute of Technology
- ; University of Oxford
- Aalborg University
- Auburn University
- Baylor University
- 90 more »
- « less
-
Field
-
Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
-
Institute faculty, in areas such as: * Machine Learning and Computer Vision * Natural Language Processing and Data Science * Biomedical Informatics and Computational Neuroscience * Mathematical/Theoretical
-
on reliability, security, and resilience of electric power systems and microgrids and stability analysis and Scientific Machine Learning (SciML) for microgrid applications. The successful candidate will be
-
- commensurate with experience Type of Position Temporary Position Time Status Full-Time Required Education PhD or terminal degree in a related field. Required Related Experience Experience performing experiments
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Physics, Electrical Engineering, Material Science or closely related field in hand
-
Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented Postdoc/researcher (m/f/x). Job description We are looking for a motivated postdoctoral
-
Strong quantitative skills and experience with scientometric methods, machine learning for text analysis, and possibly LLMs. Experience with the analysis of science and technology data (patents and
-
the intersection of machine learning and genomics. The project involves the development and application of advanced machine learning and deep learning techniques to understand the sequence-function relationships
-
the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
-
understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI