Sort by
Refine Your Search
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nanyang Technological University
- National University of Singapore
- King Abdullah University of Science and Technology
- Ellison Institute of Technology
- Harvard University
- Singapore University of Technology & Design
- Missouri University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Birmingham
- Zintellect
- ;
- Birkbeck University of London
- Birkbeck, University of London;
- Carnegie Mellon University
- Centro de Engenharia Biológica da Universidade do Minho
- Cori Institute of Molecular and Computational Metabolism
- Johns Hopkins University
- National Center for Toxicological Research (NCTR)
- New York University
- Northeastern University
- Oden Institute for Computational Engineering and Sciences
- Plymouth University
- Research Center for Molecular Medicine (CeMM), ÖAW
- University of Alabama, Tuscaloosa
- University of Michigan
- University of Michigan - Flint
- University of North Carolina at Charlotte
- University of Oslo
- University of Science and Technology of China
- 21 more »
- « less
-
Field
-
at NTU are looking for a Research Fellow (RF) to carry out research in probabilistic machine learning and GenAI, by exploring cutting-edge approaches such as sequence model design, continual learning
-
degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
-
learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP, BLIP) or scene-graph inference is a plus. Key Competencies Strong software development and debugging skills. Able
-
Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
; and how these mechanisms can be understood, modelled and ultimately perturbed for biomedical discovery. Two scientific tracks Track 1: Computational Biology / Machine Learning for membrane protein
-
a machine learning model for storm surge prediction. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure
-
verbal, written communication skills In-depth knowledge of deep learning, specifically VLM models, computer vision techniques (e.g., open vocabulary object detection, model distillation, VQA, test-time
-
: A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research
-
. Develop AI, machine learning, optimisation, and decision-support algorithms. Build digital twin environments, physics-based modelling, concept evaluation frameworks, and technical risk assessments. Develop
-
of metabolism, membrane transport, cellular regulation, structural systems biology, machine learning and disease mechanisms. These positions are embedded in the transition from CeMM in Vienna to the newly founded
-
a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials