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
-
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
-
) By order issued by the Director-General of Instituto de Telecomunicações, on 17 April 2026 [TM1] , the opening of an international selection procedure was approved for the recruitment of 1 (one) PhD
-
computational enhancement. Once operational, you will focus on high-resolution imaging and nanoscopy. Your duties doing research towards writing a PhD thesis develop and optimise DUV microscope at the absolute
-
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
-
older adults will complete this daily-life multitask within a structured training paradigm. Next to the PhD research, the PhD student will spend 10% of their time on teaching assignments (practical
-
-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