412 machine-learning "https:" "https:" "https:" "https:" "https:" Fellowship positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Harvard University
- Nanyang Technological University
- INESC TEC
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oslo
- Nature Careers
- National University of Singapore
- University of Minho
- Cornell University
- UCL;
- University of British Columbia
- University of Stavanger
- Johns Hopkins University
- Princeton University
- Simons Foundation/Flatiron Institute
- Stanford University
- University of South Carolina
- INESC ID
- NTNU Norwegian University of Science and Technology
- Northeastern University
- Vanderbilt University
- Zintellect
- Curtin University
- LINGNAN UNIVERSITY
- UiT The Arctic University of Norway
- Universidade de Aveiro
- Universidade de Coimbra
- University of Alabama, Tuscaloosa
- City of Hope
- Dana-Farber Cancer Institute
- New York University
- UNIVERSITY OF SOUTHAMPTON
- University of Arkansas
- University of Bergen
- University of California Los Angeles
- University of Colorado
- University of Leeds
- University of North Carolina at Chapel Hill
- University of Nottingham
- Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa
- Boston College
- California State University, San Bernardino
- Duke University
- Genentech
- Hobart and William Smith Colleges
- Imperial College London
- Indiana University
- King Abdullah University of Science and Technology
- Korea Institute for Advanced Study
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical College of Wisconsin
- Plymouth University
- SUNY University at Buffalo
- Stockholms universitet
- The University of Memphis
- University of Algarve
- University of California, Los Angeles
- University of Michigan - Ann Arbor
- University of Rhode Island
- University of Texas at Austin
- Western Norway University of Applied Sciences
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- AbbVie
- Academia Sinica
- American University
- Argonne
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Aston University
- BARCELONA SUPERCOMPUTING CENTER
- Barcelona Beta Brain Research Center
- Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa
- Carnegie Mellon University
- Central Michigan University
- Columbia University
- Erasmus MC (University Medical Center Rotterdam)
- Future University Hakodate
- Hiroshima University
- Humboldt-Universität zu Berlin
- INSTITUT D'INVESTIGACIO SANITARIA PERE VIRGILI
- IRB Barcelona
- Insper
- Institut national de la recherche scientifique (INRS)
- Instituto Politécnico de Coimbra
- Instituto de Telecomunicações
- KEK
- KINGS COLLEGE LONDON
- KU LEUVEN
- La Trobe University
- Lawrence Berkeley National Laboratory - Physics
- Loyola University
- Macquarie University
- Massachusetts Institute of Technology
- Montana State University
- NORDITA-Nordic Institute for Theoretical Physics
- NORTHUMBRIA UNIVERSITY
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Northumbria University
- OCAD University
- 90 more »
- « less
-
Field
-
Python for scientific computing – experience with data analysis and basic signal processing – foundations in machine learning and interest in developing advanced AI models – familiarity with Linux
-
. Demonstrated high level of achievement in related research productivity and academic writing. Technical skills in computer programming, algorithm development and deep learning model implementation, and practical
-
classification for conducting cutting-edge and life-changing research that creates impact in our communities. Additionally, for more than a decade, they have received a national Military Friendly® School
-
, b) computational modelling, or c) machine learning. This is a complex project managing longitudinal data from a range of sources. Therefore, thoroughness and attention to detail while managing
-
to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming
-
understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
-
environments will provide the successful candidate with opportunities to learn from a large network of talented professionals. Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL
-
component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
-
, see the Geometric Machine Learning Group's website: https://weber.seas.harvard.edu For questions, please email mweber@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic
-
of the Grant are:; 1) To apply machine learning algorithms for the diagnosis of faults and malfunctions in photovoltaic plants, using data from SCADA systems combined with synthetic data from digital twins (DT