Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- Australia
- United Kingdom
- Netherlands
- Spain
- France
- Germany
- Sweden
- Belgium
- Canada
- Norway
- Portugal
- Austria
- United Arab Emirates
- China
- Denmark
- Finland
- Poland
- Switzerland
- India
- Italy
- Japan
- Ireland
- Hong Kong
- Morocco
- South Africa
- Luxembourg
- Brazil
- New Zealand
- Saudi Arabia
- Czech
- Estonia
- Macau
- Romania
- Cyprus
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Engineering
- Science
- Biology
- Education
- Mathematics
- Arts and Literature
- Law
- Humanities
- Materials Science
- Linguistics
- Social Sciences
- Environment
- Earth Sciences
- Chemistry
- Psychology
- Sports and Recreation
- Philosophy
- Design
- Electrical Engineering
- Physics
- Statistics
- 15 more »
- « less
-
. Applications must include a CV, a cover letter, and transcripts from Master's 1 and 2. Title : Deep-learning for nuclear data in physics for health This PhD project aims to improve the modeling of nuclear
-
machine learning architectures. Preferred qualifications: Prior experience or a strong interest in aging-related research and biology. Demonstrated experience applying deep learning or machine learning
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 30 days ago
contexts Strong programming skills and deep learning frameworks Familiarity with generative models (e.g., diffusion, GANs, autoencoders) or virtual staining concepts Excellent teamwork and communication
-
close collaboration with a deep-tech startup. You will work in an internationally recognized research environment with access to state-of-the-art cleanroom facilities and collaborate with leading academic
-
Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development
-
that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
-
subject The DEEPICE project aims to develop an automated workflow combining glacial geomorphology, remote sensing, DEM analysis and deep learning to detect and analyse subglacial bedforms at large scale
-
. · Knowledge in servers with GPUs, and development of Artificial Intelligence applications. · Solid understanding of Pattern Recognition, Machine Learning, and Deep Learning with applications to health issues
-
strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have experience with reinforcement learning (preferred). You have experience with explainable and/or
-
and cooperation. You have a strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have experience with reinforcement learning (preferred). You have