Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Nature Careers
- University of Twente
- Aalborg Universitet
- Aalborg University
- Cranfield University
- DAAD
- Empa
- Forschungszentrum Jülich
- Leiden University
- Linköping University
- Monash University
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Technical University of Munich
- UiT The Arctic University of Norway
- Umeå University
- Umeå universitet
- University of Exeter
- University of Luxembourg
- University of Twente (UT)
- ;
- Baylor College of Medicine
- CNRS
- CSIC
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Computer Vision Center (CVC)
- DIFFER
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); yesterday published
- Imperial College London;
- Institute of Image-Guided Surgery of Strasbourg
- Leibniz
- Leiden University; Leiden
- Leipzig University •
- Linkopings universitet
- Luxembourg Institute of Science and Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute of Biochemistry, Martinsried
- Molde University College
- New York University
- The University of Edinburgh;
- Universitat Politècnica de València
- University College Dublin
- University of Adelaide
- University of Birmingham;
- University of Cambridge;
- University of North Texas at Dallas
- University of Southern Denmark
- University of Warwick
- University of Warwick;
- Vrije Universiteit Amsterdam (VU)
- 45 more »
- « less
-
Field
-
such as Alzheimer's - but predicting how proteins fold in biological environments remains a key unmet challenge. This project brings together insights from efficient graph-driven folding simulations with
-
models and reinforcement learning models for 3D graphs of materials to explore vast inorganic chemical spaces and design synthesizable energy materials. You will couple such models with physics simulation
-
ability to work both independently and collaboratively are essential. A solid background in combinatorics, especially graph theory, together with basic knowledge of probability theory, are required
-
The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists of systems biology
-
CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 15 hours ago
for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists of systems biology, virology, high-throughput genetics, genomics and proteomics
-
applications will be probed in order to validate the implementation of these techniques in key computer vision-related tasks, such as image classification, multimodal data generation, or manipulation of graph
-
federated knowledge graph framework that facilitates the querying, consolidation, analysis, and interpretation of distributed proteomics-focused clinical knowledge graphs. To achieve this, we will employ
-
FOR DRAWING UP OF PREDOCTORAL CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 119865 Development of machine-learning and graph-based models
-
to the architecture and technical design of the VIOLET research prototype Design and develop AI systems for guideline-compliant therapy recommendations using LLM, RAG and/or graph paradigms Translate narrative clinical
-
the response model from reactive to proactive. The goal is to increase transparency and trust in the DNS namespace. Key research activities will include applying machine learning and graph-based techniques