Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Portugal
- Germany
- Sweden
- Netherlands
- Norway
- Spain
- Denmark
- Belgium
- Italy
- Singapore
- Australia
- Finland
- Ireland
- Luxembourg
- Switzerland
- China
- Czech
- Canada
- Estonia
- Morocco
- Poland
- Austria
- Japan
- United Arab Emirates
- Hong Kong
- Brazil
- Vietnam
- Andorra
- Macau
- Saudi Arabia
- Barbados
- Bulgaria
- Iceland
- Latvia
- Lithuania
- Malta
- Romania
- Slovenia
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Environment
- Business
- Arts and Literature
- Humanities
- Linguistics
- Law
- Electrical Engineering
- Physics
- Psychology
- Social Sciences
- Sports and Recreation
- Education
- Design
- Philosophy
- 14 more »
- « less
-
‑learning techniques in an applied or production‑like environment, including classification or predictive modelling. Experience working with Python and common data‑science libraries (e.g. pandas, scikit‑learn
-
outputs and insights, you will further extent the research to prediction models and different product development, which can be tested on pilot scale as well. Duties As a Ph.D. student you are expected
-
population changes, and other demographic parameters (survival, fecundity, reproductive success, etc.). These integrated population models (IPMs) are increasingly used in ecology. They offer clear advantages
-
Silva. Grant duration: Initial duration of 36 months, with the predicted starting date in April 2026, on an exclusive basis eventually renewable but never exceeding the project duration
-
/trait data) Conducting statistical modeling, feature selection, and predictive analytics for forest health, resilience, and biomass estimation Supporting data preprocessing, cleaning, normalization, and
-
Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
-
CORE A*/A conference paper. We invite applications for a postdoctoral position focused on the development of predictive models for clinical outcomes following Deep Brain Stimulation (DBS) in Parkinson’s
-
, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
-
The project: Non-destructive testing (NDT) is vital to ensure structures are safe and to reduce operating costs by facilitating predictive maintenance. The focus of this project is on improving
-
transitions in and out of campus housing, accurate data reporting, and collaborative partnerships across departments. As part of our integrated residential education model, you’ll work closely with professional