Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Germany
- Italy
- Sweden
- Spain
- Belgium
- Australia
- Netherlands
- Portugal
- Singapore
- Canada
- Finland
- China
- Hong Kong
- Ireland
- Luxembourg
- Poland
- Andorra
- Denmark
- Japan
- Macau
- Malta
- Switzerland
- Austria
- Barbados
- Czech
- Estonia
- Lithuania
- Morocco
- Norway
- Romania
- Saudi Arabia
- United Arab Emirates
- 25 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Business
- Materials Science
- Mathematics
- Environment
- Chemistry
- Earth Sciences
- Law
- Linguistics
- Psychology
- Sports and Recreation
- Arts and Literature
- Humanities
- Physics
- Education
- Electrical Engineering
- Social Sciences
- 12 more »
- « less
-
of mid-infrared (MIR) spectra, including preprocessing techniques and the use of predictive modeling tools (e.g., partial least squares regression) to estimate key soil health properties such as organic
-
of the formal document. For additional information on this matter candidates are advised to check the website of the Directorate-General for Higher Education (DGES): https://www.dges.gov.pt/en/pagina/degree-and
-
into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in
-
and Retro-Commissioning efforts. Uses predictive maintenance techniques in the analysis of buildings. Develops reports from analysis of buildings for distribution to appropriate Auburn University
-
fundraising. Proficiency in predictive modeling, data visualization (e.g., Tableau), and report generation tools. Involvement in Apra or other professional prospect development organizations. Experience
-
Human Health position will specifically focus on assessing the impact of exposure to chemical, physical, and biological stressors on ecosystem and human health, developing predictive models that translate
-
alters feather identity; and (3) mathematical modelling of the GRN to predict the regulatory logic required to stabilise flight feather formation and simulate possible evolutionary scenarios
-
interdisciplinary research by bringing together its core faculty in computer science, statistics, and engineering with scholars from management, law, and social sciences. Together, they work to understand, model, and
-
machine learning pipelines, with GPU-accelerated environments tailored to foundation model training, data harmonization, and predictive analytics. The Center is embedded within the UC Davis ecosystem, with
-
coastal ecosystem researchers and other users in Australia needing to understand and predict changes over time to ecosystems. The infrastructure also contributes to Australia’s role in international