Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Netherlands
- Germany
- France
- Singapore
- Norway
- Spain
- Portugal
- Australia
- Belgium
- Poland
- Finland
- Austria
- China
- Denmark
- United Arab Emirates
- Canada
- Italy
- Switzerland
- Luxembourg
- Ireland
- Morocco
- Hong Kong
- Japan
- Brazil
- Czech
- India
- New Zealand
- Romania
- Macau
- Saudi Arabia
- Cyprus
- Bulgaria
- Estonia
- Malta
- Mexico
- South Africa
- Greece
- Iceland
- Malaysia
- Qatar
- Slovenia
- Taiwan
- Vietnam
- Worldwide
- 37 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Psychology
- Education
- Materials Science
- Earth Sciences
- Humanities
- Social Sciences
- Arts and Literature
- Environment
- Sports and Recreation
- Chemistry
- Law
- Electrical Engineering
- Linguistics
- Physics
- Philosophy
- Design
- 14 more »
- « less
-
clinical, sequencing data, and circulating biomarkers, the project aims to: Develop and validate advanced machine learning models for the stratification and diagnosis of ANOCA; Provide cell-type–resolved and
-
neuroscience, psychology, cognitive science, neurobiology, or related disciplines. Peer-reviewed scientific publications. Experience with machine learning, Bayesian statistics, or advanced computational modeling
-
curve modelling, machine learning, large language models); You have excellent English communication skills (oral and written). Basic Dutch understanding and speaking skills, or a willingness to learn, are
-
models Knowledge of quantitative and qualitative research skills (e.g., survey development, environmental assessment, focus group design and facilitation, etc.) Able to interact with individuals/groups
-
include the development of machine learning models and decision-support systems for crop monitoring,early detection of plant stress and diseases, prediction of environmental performance and digital
-
lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
-
field Strong background and expertise in data science, bioinformatics, network science, artificial intelligence, machine learning, deep learning, or related areas. Solid understanding of AI algorithms
-
machine learning and advanced statistical methods. The resulting maps will also be used to conduct a statistical study of causal inference across a wide range of all-sky galactic data sets. Steward
-
. Ability to use computer and learn new software programs. BLS required. * Initial orientation will take place in Raleigh, NC Duke is an Equal Opportunity Employer committed to providing employment
-
and Machine Learning Industrial Automation and Control Systems Industrial Internet of Things (IIoT) Digital Twin Technologies Data Analytics and Predictive Modelling Smart Manufacturing and Industry 5.0