Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Norway
- Sweden
- Netherlands
- Portugal
- Denmark
- Germany
- Spain
- Belgium
- Singapore
- Ireland
- Poland
- Finland
- Australia
- Italy
- Austria
- Estonia
- Japan
- Luxembourg
- Switzerland
- Andorra
- Barbados
- Canada
- China
- Czech
- Latvia
- Malta
- Morocco
- Saudi Arabia
- United Arab Emirates
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Science
- Medical Sciences
- Economics
- Earth Sciences
- Materials Science
- Business
- Mathematics
- Chemistry
- Linguistics
- Arts and Literature
- Electrical Engineering
- Environment
- Physics
- Law
- Psychology
- Education
- Humanities
- Philosophy
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
-
, you will join an agile team composed of: • A PhD student in AI/Control: focused on anomaly detection in time series. • An MLOps Engineer: responsible for deployment and production of models
-
to generate baseline datasets for calibrating and validating predictive models of biodiversity-rich forests. Using machine learning (ML) algorithms, the Research Assistant will help predict the occurrence
-
of the project “PROSPER: Predictive models for sustainable protein recovery”, funded by FEDER and by National Funds through FCT (Operation No. 15391 — COMPETE2030-FEDER-00907300), under the following conditions
-
selection criteria You must have strong competence in artificial intelligence, signal processing, modelling, instrumentation, or control, including good programming skills. This background is typically
-
response using large public datasets and modern predictive modeling Integrate CIN signatures with functional dependency resources to shortlist candidate vulnerabilities for validation Contribute to open
-
into European energy system models based on the institute's own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE . Your tasks in detail: Implementing geothermal plants with material co-production
-
kidney disease in adults: assessment and management. Clinical guideline [CG182]. Tangri N, Stephens LA, Griffith J et al A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. JAMA
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to perform disease modeling and critical analytics in response to infectious disease outbreaks. Duties will include helping to implement predictive and analytic models of infectious disease using Python and R
-
scientific leaders and entrepreneurs. Job Summary This role reports to the Director of Finance and the Senior Associate Dean and Chief Operations Officer. The Financial Systems and Controls Architect