Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
imaging methodologies, biological sample preparation, vacuum technology, laser operation and optics, and electrical and mechanical engineering. Furthermore, you are expected to present your work in
-
at the Max-Planck-Institut für Kohlenforschung in Mülheim/Ruhr Project 3: “Atomistic Investigation of Chemomechanical Processes in the Fe–O System” under the supervision of Prof. Bitzek, Microstructure and
-
, 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
-
an enthusiastic, proactive, and collaborative biologist to join Prof Witney’s Group in the School of Biomedical Engineering & Imaging Sciences, King’s College London. You will join a dynamic and successful
-
to develop a hyperspectral DUV imaging system for applications in microscopy in the context of chiral light-matter interactions at the nanoscale as part of our team at the VU Amsterdam (matzlab.com
-
) at Vrije Universiteit Brussel (VUB) is looking for a highly motivated PhD student to conduct research under the supervision of Prof. Jef Vandemeulebroucke in the field of medical image analysis and
-
the context of chiral light-matter interactions at the nanoscale as part of our team at the VU Amsterdam (matzlab.com ). Your project combines concepts from optical design, holographic imaging, computational
-
humanities. We combine terahertz, ultrasound, infrared thermography, hyperspectral/multispectral, and X-ray imaging with multimodal data fusion, interactive visualisation, and digital twins. Results
-
: Experience with crystallization processes, soft matter physics, or porous media Familiarity with imaging techniques (optical/electron microscopy, X-ray tomography, or spectroscopy) Experience with cultural
-
-spectral microscopy framework that extracts meaningful spectral information from a single image, by combining innovative optical system design with learning-based data processing. The research aims