354 machine-learning "https:" "https:" "https:" "https:" "https:" Fellowship research jobs
Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- Harvard University
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- National University of Singapore
- Cornell University
- Nature Careers
- UCL;
- Universidade de Coimbra
- University of South Carolina
- Johns Hopkins University
- Northeastern University
- University of British Columbia
- Zintellect
- Princeton University
- RMIT UNIVERSITY
- Stanford University
- University of Alabama, Tuscaloosa
- University of Nottingham
- City of Hope
- Indiana University
- LINGNAN UNIVERSITY
- NTNU Norwegian University of Science and Technology
- New York University
- UNIVERSITY OF SOUTHAMPTON
- UiT The Arctic University of Norway
- University of Arkansas
- University of Colorado
- University of Leeds
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- California State University, San Bernardino
- Carnegie Mellon University
- Centro de Engenharia Biológica da Universidade do Minho
- Curtin University
- Dana-Farber Cancer Institute
- Future University Hakodate
- Hobart and William Smith Colleges
- Humboldt-Universität zu Berlin
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- KEK
- King Abdullah University of Science and Technology
- LNEC, I.P.
- Macquarie University
- Queen's University Belfast
- SUNY University at Buffalo
- The University of British Columbia (UBC)
- The University of Chicago
- The University of Memphis
- UNIVERSITATEA DE MEDICINA SI FARMACIE IULIU HATIEGANU
- UNIVERSITY OF SURREY
- Universidade de Aveiro
- University of Bergen
- University of Kansas Medical Center
- University of Michigan
- University of North Carolina at Chapel Hill
- ;
- AALTO UNIVERSITY
- AbbVie
- Academia Sinica
- American University
- Barcelona Beta Brain Research Center
- Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa
- Duke University
- FCiências.ID
- Fastprinciple,lda
- Helsinki Institute for Information Technology
- INSTITUT D'INVESTIGACIO SANITARIA PERE VIRGILI
- IRB Barcelona
- Insper
- Institut national de la recherche scientifique (INRS)
- Instituto Pedro Nunes
- KINGS COLLEGE LONDON
- KU LEUVEN
- Lawrence Berkeley National Laboratory - Physics
- Loyola University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Montana State University
- OCAD University
- Oak Ridge National Laboratory
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- Politécnico de Leiria
- RMIT University
- Rutgers University
- Simula UiB
- TAIPEI MEDICAL UNIVERSITY (TMU)
- The California State University
- The University of Edinburgh;
- The University of Manchester;
- The University of Southampton
- Ulster University;
- Umeå universitet stipendiemodul
- Universidade do Minho
- University College London
- University of Aberdeen;
- University of Algarve
- University of Basel
- University of California Los Angeles
- University of California, Los Angeles
- 90 more »
- « less
-
Field
-
research in Physics-Informed Machine Learning (PIML) for metal additive manufacturing process. This role will focus on developing novel machine learning frameworks that seamlessly integrate physical
-
kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several stakeholders: i) architects and urban
-
for parameters given data (i.e., a posterior type distribution over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied to machine learning algorithms in order to
-
recently funded centre of excellence (Integreat). Integreat collects scientists from statistics and computer science and offers a flourishing machine learning community, including many PhDs and PostDocs
-
equations (2) molecular dynamics calculations (3) analysis of physical phenomena by machine learning As soon as possible after March 1, 2026 (negotiable) Where to apply Website https://jrecin.jst.go.jp/seek
-
. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
-
of faculty supervisor, develop novel techniques incorporating machine learning in particle physics event generators. Contribute to the development of machine learning driven techniques in the Pythia 8 event
-
an established Teaching Mentorship framework. In addition to design studio teaching, Fellows will have the opportunity to advise thesis students and teach one to two additional courses, of which one will
-
solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical, IoT systems. Key
-
, mass spectrometry). Familiarity with AI or machine learning applications relevant to environmental data analysis. Basic knowledge of GIS/mapping tools Practical outdoor field experience (e.g