Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Spain
- Poland
- Singapore
- Belgium
- Denmark
- Portugal
- United Arab Emirates
- Australia
- Netherlands
- China
- Canada
- Worldwide
- Austria
- Hong Kong
- Ireland
- Malta
- Romania
- Bulgaria
- India
- Andorra
- Greece
- Japan
- Luxembourg
- Armenia
- Croatia
- Cyprus
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 28 more »
- « less
-
Field
-
information about the lab check out: https://www.moorelabstanford.com/ . About the role: The role will be in-person with hybrid flexibility and is a perfect opportunity for someone looking for a 1-year, fixed
-
reliable models and algorithms in these contexts (weakly supervised, semi- or unsupervised learning, domain generalization, active learning, federated learning, privacy preservation, noise and uncertainty
-
social platforms, algorithms, and audience behaviour. Creative flair and cultural awareness — you know what makes content shareable and conversations meaningful. Skills in analytics and reporting
-
& Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in
-
. This post is funded by UKRI’s Moving IMPACT Project (Integrated Means to Power Agriculture, Clean Cooking and Transportation https://movingimpactproject.org/) and will investigate innovative power
-
, social benefits, and training opportunities. More information: https://en.bsp.uw.edu.pl/researchers/ Basic responsibilities and obligations The selected candidate will: • conduct scientific research in
-
computing, networked systems, and beyond. The work will range from theoretical and algorithmic development of distributed protocols and coordination mechanisms, through the design and implementation
-
research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
-
institutes and centers. The Data and Democracy Research Lab is a unique interdisciplinary team combining expertise in mathematics, algorithm design, geospatial data, and public policy. Members of the lab
-
Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc. Ability to respond on short