Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
The postdoc’s work will involve research within dynamical systems theory and network theory, with applications in mathematical modeling in neuroscience and in machine learning. In addition, a smaller amount of
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
. Throughout the Fellowship, individuals will have the opportunity to participate in research using digital pathology, machine learning, deep learning, artificial intelligence, and digital image analysis. Other
-
, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing, or machine learning) Experience working with
-
to fundamental biological problems. The postdoc to be recruited to join the Machine Learning for Integrative genomics team at the Institut Pasteur as part of the ERC Starting Grant MULTIview-CELL, will be working
-
of molecular data at cellular resolution, opening new avenues for the application of machine learning to fundamental biological problems. The postdoc (M/F) to be recruited to join the Machine Learning
-
postdocs, tenure-track positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum
-
The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
-
consideration will be made to candidates with experience in automation or machine learning. The postdoc will join a group which is focused on pioneering applications of modern machine learning methods, FAIR data
-
DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
abiotic resources. We integrate remotely sensed information with in-situ data, process-based models, and leverage satellite communication, IoT and machine learning technologies in order to provide evidence
-
Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 12 days ago
, Approximation Theory, Machine Learning, Inverse Problems and Regularization Theory. Proficiency in programming with a strong preference for Python and deep learning frameworks such as PyTorch is highly desirable