Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Harvard University
- UCL;
- Nanyang Technological University
- National University of Singapore
- University of Stavanger
- Nature Careers
- Cornell University
- INESC ID
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of South Carolina
- LINGNAN UNIVERSITY
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of Alabama, Tuscaloosa
- University of British Columbia
- University of Nottingham
- University of Bergen
- University of Colorado
- University of Minho
- University of North Carolina at Chapel Hill
- ;
- Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa
- Curtin University
- Johns Hopkins University
- New York University
- SUNY University at Buffalo
- Universidade de Coimbra
- University of Algarve
- University of Arkansas
- University of Leeds
- University of Michigan - Ann Arbor
- University of Rhode Island
- Western Norway University of Applied Sciences
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- AbbVie
- American University
- BARCELONA SUPERCOMPUTING CENTER
- Barcelona Beta Brain Research Center
- Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa
- Carnegie Mellon University
- Dana-Farber Cancer Institute
- Erasmus MC (University Medical Center Rotterdam)
- Genentech
- Humboldt-Universität zu Berlin
- INESC TEC
- IRB Barcelona
- Indiana University
- Insper
- Instituto Politécnico de Coimbra
- KINGS COLLEGE LONDON
- KU LEUVEN
- La Trobe University
- Loyola University
- Macquarie University
- Medical College of Wisconsin
- Montana State University
- NTNU - Norwegian University of Science and Technology
- OCAD University
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- Plymouth University
- RMIT University
- Stanford University
- Stockholms universitet
- The University of Alabama
- The University of Arizona
- The University of British Columbia (UBC)
- The University of Edinburgh;
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- Ulster University;
- Umeå universitet stipendiemodul
- Universidade do Minho - ISISE
- Universitat Ramon Llull Fundació
- University College Dublin
- University of Agder (UiA)
- University of Basel
- University of Birmingham
- University of Cincinnati
- University of Dundee
- University of Granada
- University of Kansas Medical Center
- University of Leeds;
- University of London
- University of Michigan
- University of Oxford
- University of Southern Denmark
- University of Texas at Austin
- University of Utah
- University of Warwick;
- Vrije Universiteit Brussel
- 84 more »
- « less
-
Field
-
dissertated before the start-up date of the position. A research profile with relevant experience in biological sequence analysis, with complementary skills in machine learning or other relevant algorithms. A
-
learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
-
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
-
implement new nonlinear iterative solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned
-
to PhD level in a technical subject, with relevant experience: Expertise in machine learning for audio, including speech, music and ambient sound generation Research publications in relevant areas, i.e
-
combinations of structural and functional properties, using both simulations for machine learning and experimental validation. Fabrication tools and methods are already established in our laboratory. Key
-
PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
-build ups in potential multi-site storage licenses. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites. We seek a candidate with a strong
-
construction, and phylogenetic placement Ability to assess where machine-learning approaches may complement existing bioinformatic and phylogenomic methods, particularly for improving taxonomic resolution Skills
-
PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or PhD or equivalent degree in population/public health and other related medical fields with AI and ML
-
, funded by a Leverhulme Trust Research Leadership Award held by Dr Alessio Spurio Mancini. ECLIPSE's goal is to develop next-generation inference frameworks that combine machine learning with rigorous