Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Chemistry
- Business
- Psychology
- Electrical Engineering
- Environment
- Social Sciences
- Humanities
- Arts and Literature
- Earth Sciences
- Linguistics
- Education
- Law
- Physics
- Design
- Sports and Recreation
- 13 more »
- « less
-
and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
-
algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting
-
holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50
-
to operate with resilience, reliability, and adaptability. The work will investigate how individual and collective decision processes emerge from physical systems’ dynamical sensorimotor loops, with a focus on
-
numbers of samples in parallel. Prior experience handling and processing 96-sample assays, such as 96-well PCR plates or 96-well screening assays. Interest in liquid-handler automation of wet-lab workflows
-
related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
-
hands-on experience in an EM laboratory Ability to organize and execute several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of research
-
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
-
, overseeing budget spend, managing relationships with co-applicants and downstream partners, and ensuring coordination with parallel programmes in Sierra Leone and Zambia. The Head of Programmes will lead the
-
Professor will be responsible for teaching and research in some of these areas: computer architecture, media, database, algorithms, parallel and distributed systems, etc. Only shortlisted candidates will be