Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Netherlands
- Spain
- Canada
- Norway
- Portugal
- Italy
- Singapore
- Ireland
- Denmark
- Australia
- Czech
- Morocco
- Austria
- Belgium
- China
- Japan
- New Zealand
- Switzerland
- United Arab Emirates
- Brazil
- Bulgaria
- Estonia
- India
- Malta
- Saudi Arabia
- Slovakia
- Slovenia
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Economics
- Engineering
- Mathematics
- Science
- Materials Science
- Chemistry
- Linguistics
- Electrical Engineering
- Environment
- Psychology
- Earth Sciences
- Humanities
- Arts and Literature
- Social Sciences
- Sports and Recreation
- Business
- Design
- Education
- Law
- Physics
- 13 more »
- « less
-
advanced genome-editing tools. In parallel, we develop in-house sequencing technologies to dissect epigenetic and epitranscriptomic modifications at the molecular level, along with high-throughput platforms
-
systems based on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal
-
conduct an executive search process in parallel with the public advertisement of the role. For further information and to apply, please submit a CV and covering letter, detailing how you fulfill the role
-
following table(s) for the salary scale(s) for this position https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy-covered-october-2025-scales/t1.pdf The base salary range, from the salary
-
algorithms will be assessed for neurodegeneration mapping in Alzheimer’s disease brain organoids. In parallel, the technology and algorithms will be applied to fish health research, supporting studies on ulcer
-
-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
-
parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem-solving and communication skills
-
journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
-
distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation
-
& Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in