Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Belgium
- Netherlands
- Denmark
- Portugal
- Spain
- Singapore
- Hong Kong
- Australia
- Austria
- China
- Poland
- Luxembourg
- Canada
- Switzerland
- Italy
- United Arab Emirates
- Ireland
- Czech
- Cyprus
- Finland
- India
- Morocco
- Latvia
- New Zealand
- Slovenia
- Andorra
- Brazil
- Bulgaria
- Estonia
- Lithuania
- South Africa
- Saudi Arabia
- Worldwide
- Armenia
- Iceland
- Israel
- Japan
- Slovakia
- Barbados
- Croatia
- Europe
- Romania
- Taiwan
- Vietnam
- 40 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Materials Science
- Social Sciences
- Arts and Literature
- Psychology
- Humanities
- Education
- Linguistics
- Electrical Engineering
- Environment
- Earth Sciences
- Physics
- Law
- Design
- Philosophy
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
Grant/funding reference: PID2023-149956OB-I00 Job title: Safe and efficient ports: comprehensive operational risk management through monitoring, advanced techniques and machine learning. PORT-AHEAD+AI
-
, they will take an active role in designing and commissioning a pioneering Self‑Driving Lab, a next‑generation autonomous research platform that will integrate Machine Learning and Bayesian optimization
-
Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
-
motivated candidate with a strong background in statistics and/or machine learning. Areas of particular interest include, but are not limited to: Causal Discovery and Causal Inference Extreme Value Theory
-
Predoctoral Researcher (PhD Candidate) in Computational Simulation and AI for Therapeutic Ultrasound
research. • Availability to work on-site in Madrid (Spain). • Ability to enrol in an official PhD programme in Spain. • Interest in numerical simulation, machine learning and clinical applications of focused
-
vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics. Experience in deep learning, computer vision, or neural
-
segmentation, target detection and change detection along and across multiannual series of data. Methodologies like foundational models, machine learning, deep learning, multitask learning, enforcement learning
-
representations Analysis of structure–function relationships between morphology and movement Modelling genome–phenotype relationships using machine learning and genomic language models The project offers a unique
-
Qualifications: The successful candidate must hold a PhD in Computer Science, Artificial Intelligence, or a closely related field, and demonstrate a strong background in computer vision and machine learning
-
prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will