Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
image processing/?tomography - advanced programming skills in Python - excellent command of English (written and spoken) Assets: - team-oriented mindset with strong communication and organizational skills
-
. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
-
science or biostatistics Ability to work independently and collaboratively Meritorious qualifications: Experience with machine learning or deep learning Experience with computer vision or image analysis Experience with 3D
-
to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
-
, multi‑dimensional imaging data and enable richer exploration of historical paintings in collaboration with the Van Gogh Museum. Information Paintings are examined to understand artistic processes, support
-
training on HMI and methods for classification and comparison of different techniques. Title: Processing and fusion of data coming from a variety of techniques (XRF, HSI, HMI, FUV) for improved material
-
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
-
required staff training, process redesign and collaboration among diverse experts to adapt systems and practices. Consequently, new tools and methods were developed to support organisations (Bhalavat et al
-
of multi-layered and 3D artworks using techniques such as terahertz imaging, thermography and ultrasonics; and (ii) integrate and visualise multimodal NDE data using data fusion, digital twins and augmented