Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Mexico
- Netherlands
- South Africa
- Australia
- Spain
- India
- Canada
- Singapore
- Finland
- Denmark
- Italy
- Portugal
- Austria
- United Arab Emirates
- Belgium
- Switzerland
- Japan
- Norway
- Ireland
- Luxembourg
- Saudi Arabia
- Hong Kong
- Czech Republic
- Romania
- Argentina
- Brazil
- Morocco
- South Korea
- Vanuatu
- Turkey
- Algeria
- Croatia
- Estonia
- Taiwan
- China
- Greece
- Hungary
- Iceland
- Israel
- Qatar
- Slovakia
- Thailand
- 37 more »
- « less
-
Program
-
Field
- Biology
- Medical Sciences
- Computer Science
- Business
- Earth Sciences
- Statistics
- Education
- Environment
- Social Sciences
- Engineering
- Chemistry
- Psychology
- Physics
- Materials Science
- Science
- Economics
- Law
- Electrical Engineering
- Mathematics
- Design
- Humanities
- Arts and Literature
- Sports and Recreation
- Linguistics
- Philosophy
- 15 more »
- « less
-
Unit Position Summary Primary duties and responsibilities: Perform statistical and quantitative analysis using statistical software Writing, formatting, and editing reports and works for
-
(e.g., preschools, homes). Additional research tasks will include: recruitment and scheduling of participants, scoring assessments and data management, assisting with analysis and perceptual rating of
-
Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 2 months ago
analysis and related tasks such as simulation, reconstruction, and machine learning for ATLAS / LHC data, and other research opportunities in the SLAC ATLAS group, while also demonstrating alignment with
-
reconstruction algorithm (CAVERNS-WatChMaL) to atmospheric data from Super-Kamiokande and T2K. They will carry out the first Super-Kamiokande oscillation analysis based on a deep-learning algorithm, with the
-
sciences. Student researchers will gain hands-on experience with data collection, social network analysis, generative artificial intelligence (GenAI) applications, and scientific research methodologies
-
Project description:
Cancer prevention increasingly requires the analysis of routinely collected data generated in everyday digital environments. This PhD project will
-
big data resources that are both broad (large n) and deep (multiple levels of data within individuals) and span multiple levels of analysis (e.g., early longitudinal clinical behavioral development
-
longitudinal data using appropriate software packages (e.g., Stata, R, Mplus) following open science practices. 3. Use innovative methods (e.g., causal mediation analysis, structural equation modelling) to
-
-based chemical analysis, data processing, statistical evaluation, scientific communication, and collaborative research. About the position We are seeking a PhD student who will advance the
-
, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and collaborative research. About the position We are seeking a