Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Economics
- Science
- Mathematics
- Materials Science
- Chemistry
- Environment
- Psychology
- Earth Sciences
- Electrical Engineering
- Humanities
- Arts and Literature
- Linguistics
- Social Sciences
- Physics
- Business
- Design
- Education
- Law
- Sports and Recreation
- 13 more »
- « less
-
coordinate parallel trials with in-country teams across partner nations; Oversee seaweed sample collection and processing with in-country teams, and contribute directly to field sampling where required
-
description: The Scientific Computing Center is the Information Technology Center of KIT. The Research Group Exascale Algorithm Engineering of SCC works at the interface of algorithmics, parallel computing, and
-
dynamics simulations using parallel computers or GPU computers. We correlate the obtained results with experimental data on polymeric functional materials to elucidate their dynamic behavior and clarify
-
Line of research: " Computer Architecture and Parallel Systems " publisched in the official gazzette BORM 7/11/2025. ( IN SPANISH). Where to apply Website https://convocum.um.es/convocum2/paginas/pin
-
. We will use those nanobodies to identify stable partners of a5 receptors and in parallel we will develop proximity labeling approaches to capture transient partners. Comparison of WT and mutant cells
-
. What starts here really does change the world. To learn more about the McCombs School of Business, please visit https://www.mccombs.utexas.edu/ Purpose As a member of the McCombs Technology Solutions
-
of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
-
the EngD degree (Engineering Doctor), formerly known as PDEng (Professional Doctorate in Engineering). The program consists of two main parts running in parallel: Half of the program consists of post-master
-
Jülich (FZJ). The main objective of the project is to incorporate a memristor-based template library into the processing elements of a cellular neural network in order to achieve programmable parallel
-
constraints such as electromagnetic interference (EMI), thermal stability, and mechanical durability. In parallel, the project will refine and optimize existing machine learning models for fault detection and