Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- United Kingdom
- Sweden
- Spain
- Portugal
- Netherlands
- Singapore
- Belgium
- Norway
- Denmark
- Poland
- Austria
- Australia
- United Arab Emirates
- Switzerland
- Canada
- Finland
- Czech
- Italy
- Ireland
- Luxembourg
- Hong Kong
- China
- Romania
- Estonia
- Morocco
- Brazil
- Cyprus
- Japan
- Latvia
- Croatia
- Lithuania
- New Zealand
- Bulgaria
- Greece
- Kuwait
- Slovakia
- Andorra
- Europe
- Iceland
- India
- Malta
- Slovenia
- Worldwide
- 36 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Business
- Chemistry
- Environment
- Earth Sciences
- Psychology
- Electrical Engineering
- Linguistics
- Arts and Literature
- Humanities
- Education
- Physics
- Social Sciences
- Law
- Sports and Recreation
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
methods of soil characterization, monitoring and management, Organization of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python
-
with or commitment to learning and growing as an instructor; experience using R or Python, either in teaching or to support work in statistics and/or data science. Desired Qualifications Experience
-
language such as Python or Node.js) would be a plus. The candidate must be able to implement production-ready solutions in adherence to strict timelines, ensuring that deadlines are met, and that
-
expected to develop their own active research portfolio, especially as it provides complementary synergies with other EAP activities and themes. More information on the EAP is available at https
-
YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
performance under different acquisition conditions and across different types of plant communities, programming and automating analytical workflows in Python and R, and integrating these workflows with
-
multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
-
with electrophysiology acquisition and analysis (for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including
-
will require a strong interest in experimentation, reproducibility of results, and reading scientific papers. Good programming skills (in practice Python) are expected, as well as a genuine interest in
-
derive generally applicable guidelines for the design of improved organic materials. Interested candidates may want to take a look at our recent work https://www.nature.com/articles/s41467-025-67722-4 and
-
Python and AI-enabled methods to extract, classify, and summarize insights from unstructured data, including text, images, and other digital content. This work will help BSA detect trends, measure impact