Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Portugal
- Spain
- Netherlands
- Denmark
- Belgium
- Singapore
- Poland
- Australia
- Norway
- United Arab Emirates
- Canada
- Luxembourg
- Switzerland
- Italy
- Austria
- Finland
- Morocco
- Czech
- China
- Ireland
- Romania
- Croatia
- Greece
- Hong Kong
- Bulgaria
- Cyprus
- New Zealand
- Estonia
- Worldwide
- Japan
- Latvia
- Lithuania
- Slovenia
- Vietnam
- Barbados
- Brazil
- India
- Israel
- Kenya
- Kuwait
- Malta
- Saudi Arabia
- Slovakia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Business
- Biology
- Science
- Materials Science
- Education
- Mathematics
- Arts and Literature
- Law
- Humanities
- Psychology
- Chemistry
- Social Sciences
- Earth Sciences
- Electrical Engineering
- Environment
- Design
- Linguistics
- Philosophy
- Physics
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
% with Laura Cantini’s team and 20% with the Bioinformatics and Biostatistics HUB. Information about the teams : The Machine Learning for Integrative Genomics team : https://research.pasteur.fr/en/team
-
, mechanical design, technical drawings, manual skills, mathematics, and computer programming to produce high-quality components in limited production runs, advanced prototypes, qualified technicians and
-
NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
-
and outdoor plaza. Connections working at Minneapolis Community & Technical College More Jobs from This Employer https://main.hercjobs.org/jobs/22001909/technical-college-faculty-machine-tool-technology
-
://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https
-
medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in
-
mostly at NIST’s Beamline for Materials Measurements with the intent of develpoing methods to leverage machine learning and artifical intelligence tools to enhance and automate beamline operations. Some
-
requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated ability to interface with
-
field with demonstrated competencies in Computer Information Technology and computing disciplines. Demonstrated competency in computer information technology concepts, tools, and applications. Proficiency
-
clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A