Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of interventions, support policy making and optimize control strategies. Our approach is
-
proteins from discs into supported membranes to make aligned protein arrays for biosensor development, also remains to be studied in detail. This project will optimize the experimental workflow
-
: Optimization and Operations Research,Statistics and Data Science,Financial Mathematics,Engineering and Computational Mathematics,Mathematical Science Appl Deadline: none (posted 2026/03/04 05:00 AM
-
project with the aim of: To optimize tools that perform a robust evaluation of radiation therapy plans and to optimize tools that allow the automation of the robust optimization procedure for the worst-case
-
powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
-
adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
-
-edge research in LLM. Responsibilities Develop high-efficiency, small-to-medium LLMs optimized for the edge through advanced compression, quantization, and distillation. These techniques empower resource
-
human fat cells. As a research assistant in our team, you will play a central role in developing and optimizing these gene editing strategies. This includes testing approaches such as integrase-deficient
-
plan (e.g., microfluidic channel optimization, polarization-dependent scattering studies, spectral imaging implementation, or algorithm development). Planning experimental campaigns, simulations, and
-
. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical