Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Netherlands
- Sweden
- France
- Norway
- Spain
- Denmark
- Portugal
- Belgium
- Australia
- Austria
- Switzerland
- United Arab Emirates
- Singapore
- Luxembourg
- Poland
- China
- Finland
- Hong Kong
- Canada
- Vietnam
- Ireland
- Morocco
- Czech
- Estonia
- Italy
- Brazil
- India
- Romania
- New Zealand
- Croatia
- Andorra
- Lithuania
- Greece
- Latvia
- Slovenia
- South Africa
- Ukraine
- Chile
- Cyprus
- Japan
- Macau
- Saudi Arabia
- Armenia
- Bulgaria
- Colombia
- Europe
- Indonesia
- Israel
- Kenya
- Malaysia
- Malta
- Taiwan
- Worldwide
- 46 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Science
- Mathematics
- Arts and Literature
- Psychology
- Chemistry
- Business
- Education
- Social Sciences
- Earth Sciences
- Humanities
- Materials Science
- Electrical Engineering
- Environment
- Linguistics
- Law
- Physics
- Design
- Philosophy
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
-
; GIS; environmental data analysis; machine learning; numerical modelling; tracer experiments; dispersion and mixing. DESCRIPTION (topic, expectations, comments): We are seeking a researcher holding a PhD
-
opportunity to contribute to leading-edge research at the intersection of applied machine learning and clinical dental practice. As a member of our team, you will help translate contemporary data science
-
for research. (Required) Knowledge of medical terminology. (Preferred) Demonstrated computer skills/abilities: excellent word-processing skills (Required) Willingness to learn to support study procedures
-
probabilistic frameworks. Experience with machine learning or AI methods for localization or perception (e.g. learning-based SLAM, data-driven sensor fusion) is a plus. Underwater or field robotics experience
-
theory and methods by taking several PhD-level courses (about 36 European credits) in information systems, operations management, econometrics, machine learning, extensive data analytics and qualitative
-
The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en/offerta-formativa/dottorato/2025/computer-science About the
-
economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project
-
Machine Learning A PhD position is available at the Computer Vision Center (CVC) under the supervision of Fernando Vilariño and Paula García . The successful candidate will be enrolled in
-
by integrating petrophysics, rock physics, geophysics, geomechanics and machine learning. A detailed project plan will be developed in collaboration with the successful candidate at the start of PhD