Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
-factor binding from regulatory sequences Apply these models to interpret genetic variation, integrate predictions with complementary genetic analyses, and deliver prioritized candidate genes
-
on downstream regression tasks. A key challenge lies in effectively modeling the temporal nature of EO data. Since downstream applications require varying temporal resolutions and sequence lengths, from daily
-
, especially when multiple occupants or devices contribute to the same load profile. Robust classification requires models that not only predict activity states accurately, but also express calibrated
-
from detector systems to data servers. 3. Data processing and quantitative analysis Advancing data processing workflows, including classification, alignment and quantitative analysis. Applying advanced
-
environments, and motion systems into a fully functional experimental platform Lead the alignment, commissioning, characterization, and performance optimization of the beamline and its optical components Develop
-
multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to (1) optimize the design of hybrid electrical–optical computing architectures