Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- United Kingdom
- Italy
- Sweden
- Germany
- Singapore
- Spain
- Belgium
- Portugal
- Poland
- Denmark
- Netherlands
- United Arab Emirates
- Austria
- Hong Kong
- Australia
- Worldwide
- Canada
- Czech
- Luxembourg
- Malta
- China
- India
- Ireland
- Andorra
- Japan
- Armenia
- Bulgaria
- Cyprus
- Estonia
- Europe
- Finland
- Mexico
- New Zealand
- Romania
- Slovakia
- Vietnam
- 28 more »
- « less
-
Field
-
, coordination, and management of information and data, development and implementation of computer models and simulations, development of research materials (figures, presentations, papers, etc.) and work
-
university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Certifications: --- Preferred
-
Innovation Council to build a breakthrough Device-Aware Testing platform shaping the future of semiconductor test. Job description The POPCORN project aims to revolutionize semiconductor testing by developing
-
is on fundamental limits, and development of algorithms and methods. Applications can be found in, for example, signal, image and video processing for autonomous vehicles and swarms of drones; massive
-
physics, materials science, chemistry and related fields. The development of the concepts, algorithms and code libraries needed to advance the field is fundamental to the work of the center. Research
-
• Produce research products such as well-documented algorithms and code, software, and research publications • Prepare results for publications, work with collaborators in writing publications, and, in some
-
efficiently, the candidate will develop algorithms capable of tracking resolvent modes as parameters vary, thus significantly reducing the overallcomputational cost. In the second and third years, the study
-
, this research will contribute importantly to the discovery of novel risk genes, steer basic research and drug development, and advance personalized medicine. The successful candidate will also help with assisting
-
models to specialized microscopy tasks and develop algorithms that align image level embeddings across modalities (e.g., fluorescence ↔ electron microscopy ↔ brightfield ↔ …). In collaboration with other
-
, and benchmarking of novel algorithms on synthetic and real-world datasets Development and maintenance of open-source research software and reproducible workflows Collaboration with CRC partners across