Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Australia
- Singapore
- United Kingdom
- France
- Germany
- Austria
- Sweden
- Belgium
- Norway
- Spain
- Netherlands
- Denmark
- Portugal
- Canada
- Italy
- Luxembourg
- United Arab Emirates
- China
- Hong Kong
- India
- Poland
- Switzerland
- Ireland
- Finland
- Czech
- Morocco
- New Zealand
- Cyprus
- Japan
- Lithuania
- Saudi Arabia
- Brazil
- Bulgaria
- South Africa
- Andorra
- Armenia
- Barbados
- Europe
- Fiji
- Greece
- Kyrgyzstan
- Latvia
- Romania
- Slovakia
- Slovenia
- Taiwan
- Worldwide
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Science
- Business
- Engineering
- Biology
- Education
- Mathematics
- Arts and Literature
- Law
- Materials Science
- Linguistics
- Social Sciences
- Chemistry
- Environment
- Humanities
- Sports and Recreation
- Psychology
- Earth Sciences
- Philosophy
- Electrical Engineering
- Design
- Physics
- Statistics
- 15 more »
- « less
-
application of advanced machine learning techniques, including deep learning approaches, aimed at identifying complex patterns of host immune responses to vaccination. The research activities will also include
-
project at the forefront of microscopy and bioimage analysis (https://www.msca-agile.eu/ ) and contribute to OMERO integration and optimization of Biom3d, a cutting-edge deep-learning framework for 3D image
-
conditions (Burgard et al., 2022). The application of deep learning to this problem has yielded promising results (Rosier et al., 2023; Burgard et al., 2023). Further development and refinement
-
do things, especially considering recent advancements in AI technology. The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images
-
. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
-
will design and validate advanced multi-agent Deep Reinforcement Learning (DRL) and/or Digital Twin (DT)-enabled methods for efficient, scalable and time-critical handover optimisation. The work will
-
multisensor fusion and ondevice AI pipelines that guarantee tight latency, power efficiency, and fail-safe robustness. Driving hardware–software codesign to radically optimize state estimation and deep-learning
-
basic experimental design. Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting. Familiarity with deep learning concepts
-
monitoring agricultural emissions across Africa using satellite remote sensing, atmospheric modeling, and deep learning. Research Focus Estimate cropland emissions (NH3, N2O, CO2, CH4) using satellite
-
Macomb Community College Adjunct Faculty demonstrate deep subject matter knowledge and provide effective instruction to students using various modalities including, but not limited to, on campus, online