Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- Germany
- United Kingdom
- Sweden
- Spain
- Austria
- Belgium
- Poland
- Singapore
- Australia
- Netherlands
- Denmark
- Italy
- Canada
- United Arab Emirates
- Portugal
- Czech
- Ireland
- Cyprus
- Finland
- Luxembourg
- Switzerland
- Hong Kong
- Bulgaria
- China
- Latvia
- Lithuania
- Romania
- Kuwait
- Malta
- Morocco
- New Zealand
- Andorra
- Croatia
- Europe
- Greece
- India
- Japan
- Norway
- Slovakia
- Worldwide
- 32 more »
- « less
-
Field
- Computer Science
- Engineering
- Economics
- Biology
- Medical Sciences
- Business
- Science
- Mathematics
- Environment
- Materials Science
- Chemistry
- Psychology
- Humanities
- Earth Sciences
- Education
- Electrical Engineering
- Arts and Literature
- Linguistics
- Social Sciences
- Physics
- Law
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
circumstances. Is comfortable using digital learning tools and platforms such as Python, VS Code and Tableau. Holds, or will soon complete a doctorate in Engineering, Physics, Computer Science, Mathematics or a
-
to changing needs. Is confident using digital learning tools and programming languages such as R, Python and C++. Holds, or will soon complete, a doctorate in a relevant discipline aligned with Data Science
-
& Responsibilities: For more information about the lab, please visit: https://sites.wustl.edu/tanglab/research/ . Assists with research studies, experiments and assays, including collection of data, preparation
-
(https://sites.lsa.umich.edu/brang-lab/ ) under the direction of Dr. David Brang, but this is a collaborative project among multiple labs at the University of Michigan and the University of California, San
-
curATime (Cluster for Atherothrombosis and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR
-
degree in a related field plus proven/relevant experience Relevant experience teaching in an online or asynchronous format. Expert knowledge of data visualization tools such as R, Tableau, Python, D3
-
Proven experience in causal inference or explainable AI, ideally documented through peer-reviewed publications Strong programming skills (preferably in Python), with experience in developing research
-
Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: BS degree in
-
in Economics Knowledge of public and environmental economics, as well as causal inference. The ability to code in R and Python. Report writing and presentation. Cleansing and scrubbing large datasets
-
Python or Matlab. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application: Experience in nanotechnology