Sort by
Refine Your Search
-
Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a focus on
-
page at: https://www.ncl.ac.uk/sage/ This is a full time, fixed term role for 3-4 months. Knowledge, Skills, and Experience AI and Machine Learning Skills: proficiency in various AI and machine learning
-
leveraged for this work i.e., unsupervised learning, data clustering including statistical modelling and estimation, noise and heterogeneous information fusion, and multiple-source localization and tracking
-
to design. Located in Ithaca, NY, the department has state-of-the-art equipment and facilities including studios, labs, two fabrication studios, a design materials library, 3D body scanner and multiple
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
The University of Alabama, Department of Electrical and Computer Engineering | United States | 2 months ago
The Department of Electrical and Computer Engineering has multiple opportunities for students to embark on a fully funded Ph.D. journey within a research-intensive institution. Our students work
-
, methods will include video- and machine-learning supported behavioral studies in mice, mouse genetics, fluorescent imaging, electrophysiology, pharmacological studies of irritant and thermosensory receptors
-
-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
-
. Located in Ithaca, NY, the department has state-of-the-art equipment and facilities including studios, labs, two fabrication studios, a design materials library, 3D body scanner and multiple gallery spaces
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid