Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Germany
- Sweden
- Netherlands
- Portugal
- Spain
- Denmark
- Canada
- Belgium
- Poland
- Austria
- Morocco
- Australia
- Italy
- United Arab Emirates
- Czech
- Finland
- Singapore
- Switzerland
- Luxembourg
- Europe
- Japan
- Brazil
- Bulgaria
- China
- Ireland
- Israel
- Malta
- New Zealand
- Norway
- Uzbekistan
- 23 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Economics
- Science
- Mathematics
- Chemistry
- Environment
- Materials Science
- Electrical Engineering
- Psychology
- Earth Sciences
- Social Sciences
- Arts and Literature
- Humanities
- Law
- Physics
- Business
- Design
- Education
- Linguistics
- Sports and Recreation
- 13 more »
- « less
-
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
-
/or mixed-methods; no parallel enrollment in another PhD programme; fluent English language skills are a must; knowledge of Bulgarian is an asset; no previous contractual links to the IPS at any point
-
. The CS group is made up of 35 full-time equivalents, and the main investigations are focused on original concepts for associations of overlapping and/or magnetically coupled switching cells in parallel
-
. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way
-
extracts, b) a minimal mixture of proteins enabling actin polymerization from the membrane surface and contractility of the pseudo–actin cortex, which will have been defined through parallel studies in
-
are ineligible for the Visiting Assistant Professor title at the University of California, Riverside and should instead apply to JPF02205 Adjunct Assistant Professor. Two parallel recruitments are being conducted
-
will develop high-performance quantum software technologies, with a focus on quantum compilers, scheduling and orchestration on parallel computing systems, including in distributed quantum computing
-
of financial and estate planning and ability to articulate these concepts to others Proven capacity to work independently on several projects in parallel; strong organizational planning skills, Customer-oriented
-
, space, modal content, etc. However a systematic analysis of the potential and trade-offs of applying photonic parallelism to computing is still lacking. This PhD project aims to get an in-depth
-
, conducting performance assessments and benchmarking case studies, and helping codes to transition into the era of accelerate compute. You will be embedded into the SHAREing (https://shareing-dri.github.io