Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Netherlands
- Spain
- Portugal
- France
- Singapore
- Norway
- Denmark
- United Arab Emirates
- Belgium
- Switzerland
- China
- Italy
- Finland
- Poland
- Australia
- Canada
- Hong Kong
- Luxembourg
- Austria
- Morocco
- Vietnam
- Romania
- Ireland
- Czech
- Japan
- Estonia
- Greece
- Brazil
- Cyprus
- Saudi Arabia
- Croatia
- Lithuania
- South Africa
- Andorra
- India
- Taiwan
- Latvia
- Malta
- New Zealand
- Slovenia
- Worldwide
- Hungary
- Israel
- Kenya
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Earth Sciences
- Chemistry
- Arts and Literature
- Environment
- Humanities
- Social Sciences
- Linguistics
- Electrical Engineering
- Law
- Sports and Recreation
- Physics
- Philosophy
- Design
- Statistics
- 15 more »
- « less
-
-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
-
, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
-
tools in research. Excellent written and oral communication skills, with a proven track record of publishing scientific papers and delivering presentations. Experience with machine learning techniques
-
to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
-
beneficial: Working knowledge of statistics and usage of MATLAB or other software for statistical analysis; Experience with machine learning and data mining. Good Estonian language skills Application procedure
-
attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
-
localization. Completing data labeling tasks for machine learning models, including file and data format conversions. Annotating data, including but not limited to text transcription, classification, and object
-
or Python to analyze data and experience with statistical, machine learning, and data science approaches. Prior experience working in teams on collaborative projects. Knowledge, Skills and Abilities
-
University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
-
point-based PhorEau projections using a machine-learning model predicting tree species richness as a function of spatially explicit abiotic and biotic covariates, including satellite-derived data