Sort by
Refine Your Search
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- National Energy Technology Laboratory (NETL)
- New York University
- SciLifeLab
- Technical University of Munich
- Yale University
- Aarhus University
- Argonne
- Baylor College of Medicine
- Brookhaven National Laboratory
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Cornell University
- Delft University of Technology (TU Delft)
- EPFL
- Empa
- Great Bay University
- Harvard University
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Iowa State University
- Jönköping University
- KTH Royal Institute of Technology
- Kennesaw State University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Mohamed bin Zayed University of Artificial Intelligence
- Princeton University
- Rutgers University
- University College Dublin
- University of California
- University of Florida
- University of Illinois at Chicago
- University of Kentucky
- University of Luxembourg
- University of Oxford
- University of Oxford;
- University of Pittsburgh, Pittsburgh , Pennsylvania, US
- University of Virginia
- University of Washington
- VIB
- Villanova University
- 32 more »
- « less
-
Field
-
, Cybersecurity, AI, Machine Learning (ML), Data Science, or another closely related subject, no more than three years before the application deadline; has documented knowledge of AI and ML; has demonstrated
-
. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with
-
measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
-
Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
-
CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
” models in the context of the Human Cell Atlas and the European Lab for Learning & Intelligent Systems , powered by large-scale single-cell, spatial, and CRISPR perturbation profiling; Tissue immunology
-
, including analyzing metagenomic data (e.g., virome) and phylogenomics, statistics, and an interest in infectious disease research. The ability to develop novel computational methods using machine learning
-
. Geometric or variational approaches to partial differential equations. Differential, metric, or algebraic geometry. Invariant theory or symmetry-based methods. Geometric data analysis. Scientific machine
-
, researchers, and students on foundational machine learning and biologically informed scientific applications. The position is particularly well-suited to candidates eager to apply their technical expertise in