Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
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
-
experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
-
team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
-
. via computational linguistic analysis of output space distributions Linguistically motivated methods for analysing and securing LLM behaviour, including, e.g., LLM misbehaviour and memorization in LLMs
-
hardware modification. The AI 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
-
been compromised but is generating bening outputs, e.g. via computational linguistic analysis of output space distributions Linguistically motivated methods for analysing and securing LLM behaviour
-
behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale
-
vision to reduce algorithmic complexity by orders of magnitude, e.g. by tracing paths of trees and extraction from knowledge bases (KBs), as opposed to pure DL Defining specific CSK-premises (in
-
characterize antenna- and metasurface-based solutions for both uniform as well as focused field distributions throughout dedicated and realistic examples of lossy media such as human tissue and fluid-cell
-
) further study of the method, to understand how the 13C signal develops and is distributed in the plant, and how sampling can be optimized to show such effects of even shorter dry periods, typical