Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Nanyang Technological University
- Macquarie University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oslo
- Harvard University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- City of Hope
- Monash University
- University of British Columbia
- Cornell University
- King Abdullah University of Science and Technology
- National University of Singapore
- Singapore University of Technology & Design
- University of Algarve
- University of Michigan
- University of New South Wales
- University of Nottingham
- University of Sheffield
- Wayne State University
- ;
- Aarhus University
- Carnegie Mellon University
- Centre for European Policy Studies
- Centro de Engenharia Biológica da Universidade do Minho
- Duke-NUS
- European Space Agency
- Fields Institute
- Francis Crick Institute
- Hong Kong Polytechnic University
- INESC ID
- INESC TEC
- Indiana University
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- King's College London
- Marquette University
- Max-Planck-Institut für Bildungsforschung
- NTNU Norwegian University of Science and Technology
- Northeastern University
- SUNY University at Buffalo
- St Jude Children's Research Hospital
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- Technical University of Munich
- The Francis Crick Institute;
- The University of Queensland
- The University of Southampton
- UCL EE
- UCL;
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UiT The Arctic University of Norway
- Universidade do Minho
- University Of The Arts London;
- University of Agder
- University of Bergen
- University of Birmingham
- University of Colorado
- University of Manchester
- University of Maryland, Baltimore
- University of Texas at Austin
- University of Waterloo
- University of the Arts London
- Zintellect
- 53 more »
- « less
-
Field
-
foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
-
Computer Science, Artificial Intelligence, Mathematics, Engineering, or a related field. Entry level candidates with demonstrated expertise in artificial intelligence (AI), machine learning, deep learning
-
record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, or optimization Proficient in both written and spoken
-
deep insight and interest in investigating the interaction between collaborative learning processes in specific knowledge domains in educational sciences and AI tools and infrastructures. Different types
-
UiO/Anders Lien 16th October 2026 Languages English English English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat
-
or connectivity analysis; machine-learning or deep-learning methods for geospatial analyses; ecological or remote-sensing fieldwork, particularly in alpine environments; Google Earth Engine, geodatabases or cloud
-
++, Java, Julia, or other competent languages. A good record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, and optimization
-
the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Conduct research in adversarial machine learning, AI security and the robustness of deep
-
Location: The Francis Crick Institute, London Short summary We are seeking an ambitious Postdoctoral Fellow to develop the next generation of deep mechanistic models (DMMs; Fabrini & Fröhlich
-
of deep neural networks and AI-enabled systems. Explore techniques such as abstraction, invariant learning, convex approximation, symbolic analysis and high-dimensional geometric analysis to improve