Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- United Kingdom
- Netherlands
- Sweden
- Denmark
- Portugal
- Spain
- Norway
- Belgium
- United Arab Emirates
- France
- Poland
- Austria
- Finland
- Switzerland
- Australia
- Luxembourg
- Morocco
- Ireland
- Czech
- Italy
- Singapore
- Canada
- Estonia
- Hong Kong
- Romania
- Greece
- Japan
- Vietnam
- Brazil
- China
- Lithuania
- Chile
- Cyprus
- Kyrgyzstan
- Malaysia
- Mexico
- New Zealand
- Pakistan
- Saudi Arabia
- Taiwan
- Worldwide
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Biology
- Science
- Business
- Mathematics
- Materials Science
- Social Sciences
- Education
- Chemistry
- Psychology
- Environment
- Arts and Literature
- Humanities
- Earth Sciences
- Electrical Engineering
- Law
- Linguistics
- Physics
- Sports and Recreation
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool
-
Municipalities, which is funded by the Velux Foundation. Read Velux’s presentation of the project at: https://veluxfonden.dk/en/projekt/migrant-solidarity-network-local-dynamics-civil-society-and-municipalities
-
, network analysis, or machine learning are a plus Good organisational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing to a
-
: - Proficiency in social network analysis and data harvesting - Experience in documentary production and/or image analysis - Experience in conducting photo/video elicitation interviews - Experience with
-
for hydraulic models to design sewage network upgrades. In order to reduce combined sewer overflows, tools are needed to optimise the interventions and compare different sites and models. Presently, the outputs
-
on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and
-
for Social Analysis, and Master of Science in Criminology and Criminal Justice programs. Teaching will be in a traditional classroom on our Arlington, Virginia campus, with the potential to teach additional
-
performance Analysis of the data to identify higher-order spike correlations and their temporal dynamics Are there particular manifold transition points and is their timing related to the occurrence of specific
-
- Literature review to identify and understand advanced methodologies for assessing the health of assets in networked infrastructures 2- Analysis and identification of integration requirements for asset
-
Methods for Social Analysis, and Master of Science in Criminology and Criminal Justice programs. Teaching will be in a traditional classroom on our Arlington, Virginia campus, with the potential to teach