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Field
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: Professor Marinko Sarunic Project Description: Optical coherence tomography (OCT) is widely used clinically in ophthalmology and is essential in the diagnosis and treatment of retinal disease. Ophthalmic OCT
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9 Sep 2025 Job Information Organisation/Company Foundation for Research and Technology Department Institute of Electronic Structure and Laser (IESL) Research Field Physics » Quantum mechanics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Greece Application...
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) as part of the tunable high-coherence opto-THz structured source project for applications of interest. The Institute of Electronics and Systems (IES) is a research laboratory affiliated with
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electrode structures. • Prototyping of the identified structures via stereolithographic 3D printing and advanced textile techniques. • Development of advanced imaging and characterization technologies (X-ray
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Join us to create new smart molecules for imaging of complex mechanics. Job description Soft matter such as polymers and hydrogels are incredibly versatile materials. Their use in metamaterials and
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Number of awards: 2 Start dates: January, April or October 2026 About the project Two PhD studentships are available as part of the project ‘BIRES: Building body image resilience in populations
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“Spatiotemporal light shaping and photon counting cameras for microscopy” carried out within the FIRST TEAM FENG programme of the Foundation for Polish Science The aim of the project is to develop new imaging
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Assistant (Doctoral Candidate) with specialising in optical coherence tomography (OCT) (salary scale 13 TV-L, 75 %) The fixed-term position is for a duration of 36 month in accordance with the project
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning