Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra
-
theory, and is expected to have experience with the practical implementation of control algorithms. Who we are Learning and Decision at AAU, founded in 2020, focuses on developing mathematical methods
-
intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible for implementation of machine-learning algorithms for unmanned aerial vehicles; validation
-
will develop algorithms and methods aimed at better detection and mitigation of GNSS interference events from either jamming or spoofing attempts. In addition to research within GNSS integrity
-
Relate parallelism to applications, e.g., algorithmic parallelism, multi-tasking, etc. Address nonlinear equalization in optical signal transmission and provide a comparison with neuromorphic electronics
-
characterization of lithium-ion and post-lithium-ion batteries, as well as solid oxide electrolysis cells (SOECs). The role also includes developing performance models and state-of-health estimation algorithms
-
will learn and adapt the realms of the combustion modes and fine tune the performance for each while the engine is operated. Self-tuning, adaptive, control algorithms will be used. This part of the three
-
Foundation RECRUIT grant ("Data Management, Algorithms, & Machine Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences". NNF22OC0072415
-
Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
information. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry
-
patterns and insights from complex neural datasets. Develop and implement algorithms for preprocessing, spike sorting, and decoding neural signals. 2. Computational Modeling: Design and develop rate-based