Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- Harvard University
- National University of Singapore
- Zintellect
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nature Careers
- University of Michigan
- University of British Columbia
- Cornell University
- UiT The Arctic University of Norway
- Universidade de Coimbra
- University of Bergen
- City of Hope
- INESC ID
- Indiana University
- NTNU - Norwegian University of Science and Technology
- University of Texas at Austin
- Carnegie Mellon University
- UNIVERSITY OF SOUTHAMPTON
- University of Kentucky
- University of Nottingham
- Center for Drug Evaluation and Research (CDER)
- Johns Hopkins University
- UCL;
- University of Birmingham
- University of Manchester
- University of Oxford
- University of Stavanger
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- King Abdullah University of Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Monash University
- OsloMet
- RMIT UNIVERSITY
- Singapore University of Technology & Design
- UNIVERSITY OF SURREY
- University of South Carolina
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Cranfield University
- Duke University
- FCiências.ID
- Hong Kong Polytechnic University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- King's College London
- LNEC, I.P.
- Macquarie University
- New York University
- Northeastern University
- Princeton University
- Queen's University Belfast;
- The University of British Columbia (UBC)
- The University of Queensland
- The University of Southampton
- Trinity College Dublin
- University of Kansas Medical Center
- University of North Carolina at Charlotte
- ;
- ADELAIDE UNIVERSITY
- CRANFIELD UNIVERSITY
- CSIRO
- Center for Biologics Evaluation and Research (CBER)
- Central Michigan University
- Centro de Engenharia Biológica da Universidade do Minho
- Dana-Farber Cancer Institute
- De Montfort University;
- Future University Hakodate
- Hobart and William Smith Colleges
- Humboldt-Universität zu Berlin
- Institute of Computer Science CAS
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Instituto de Telecomunicações
- LINGNAN UNIVERSITY
- Lawrence Berkeley National Laboratory
- NTNU Norwegian University of Science and Technology
- SUNY University at Buffalo
- The University of Alabama
- The University of Chicago
- The University of Memphis
- UNIVERSITATEA DE MEDICINA SI FARMACIE IULIU HATIEGANU
- University of Alabama, Tuscaloosa
- University of Basel
- University of Colorado
- University of Denver
- University of Leeds
- University of London
- University of Lund
- University of Maryland, Baltimore
- University of South-Eastern Norway
- AALTO UNIVERSITY
- Aarhus University
- AbbVie
- Academia Sinica
- American University
- Amgen
- Barnard College
- Bucknell University
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- California State University, San Bernardino
- 90 more »
- « less
-
Field
-
background in earthquake monitoring. The successful candidate will lead and contribute to developing a machine-learning powered earthquake monitoring and early warning system. The role involves both
-
. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals
-
machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data
-
of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems. Key Responsibilities Derive and analyse closed-form mathematical
-
machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
-
computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
-
PhD qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills Proficiency in python
-
or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and
-
-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly motivated and multiskilled Research Fellow with expertise in
-
focusing on the integration of machine learning, wafer-scale synthesis of materials. The role will contribute to the university's research mission by conducting fundamental research, helping secure external