Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Harvard University
- Nanyang Technological University
- University of British Columbia
- University of Oslo
- Wayne State University
- ;
- Francis Crick Institute
- INESC TEC
- Institute for Basic Science
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Marquette University
- Middlesex University
- Middlesex University;
- NTNU - Norwegian University of Science and Technology
- National University of Singapore
- Northeastern University
- University of Bergen
- University of Michigan
- University of Texas at Austin
- University of Waterloo
- 10 more »
- « less
-
Field
-
English English PhD Research Fellow in Formal Methods and Knowledge Representation for Engineering Information Apply for this job See advertisement About the position We invite applications for a PhD
-
acquired across multiple anatomical regions to form a patient-level assessment. This PhD project will investigate novel deep learning methodologies that jointly model anatomical structure and prediction
-
: Multimodal Information Retrieval: Developing novel retrieval frameworks that unify heterogeneous scientific data (text, tables, molecular graphs, images, time series) drawn from massive data lakes
-
Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in Knowledge-Driven Machine Learning in Norway (8 positions) Apply for this job See
-
UiO/Anders Lien 9th August 2026 Languages English English English Join Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in
-
system to track proposals. Evaluate and perform preliminary analysis of the data using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research
-
; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
-
(directed acyclic graphs, g-computation, propensity score methods, instrumental variables, and natural experiments), counterfactual mediation analysis in its various forms (natural direct and indirect effects