Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- France
- United Kingdom
- Germany
- Sweden
- Norway
- Netherlands
- Poland
- Spain
- Singapore
- Denmark
- Belgium
- Italy
- Australia
- Finland
- United Arab Emirates
- Czech
- Ireland
- Austria
- Switzerland
- Luxembourg
- Estonia
- Romania
- Japan
- China
- Morocco
- Canada
- Latvia
- Brazil
- Lithuania
- Greece
- Croatia
- Cyprus
- Andorra
- Hong Kong
- Israel
- Iceland
- India
- Mexico
- Taiwan
- Vietnam
- Europe
- Malta
- Sao Tome and Principe
- Saudi Arabia
- Slovakia
- Slovenia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Science
- Biology
- Materials Science
- Mathematics
- Business
- Chemistry
- Education
- Psychology
- Electrical Engineering
- Earth Sciences
- Environment
- Law
- Arts and Literature
- Physics
- Humanities
- Linguistics
- Social Sciences
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
computational science expertise. The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers
-
generation of scientists by offering high-quality educational programs to masters, PhD students and postdoctoral researchers (full details on http://www.iciq.org/ ). This objective is achieved by
-
Offer Description Development of atomistic ab-initio simulations and machine learning models for the study of phonon transport, phase transitions, and structural optimization of phase change materials
-
Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
-
products for engineers, municipal partners, and the public. DUTIES AND RESPONSIBILITIES Plan, develop, calibrate/validate, and execute flood risk simulations using community models (e.g., HEC-RAS, SWMM
-
the analysis of the state-of-the-art of the main system modeling techniques using Artificial Intelligence (AI). Drafting of relevant documents to support the preparation of the periodic reports required
-
, and simulation technologies can address global challenges such as habitat loss, disaster recovery, and sustainable transport. The projects aim to deliver explainable, trustworthy, and impactful AI
-
analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
-
effects of species invasions along environmental gradients and their consequences for community- and ecosystem-level responses, using native and invasive freshwater snails as a model system. The project
-
, and verification of the monitoring network • Conducting a calibration period (approx. 3 months) to adjust detection parameters and reduce false positives/negatives. • Systematic comparison between