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Field
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Skills/Qualifications Must have, at the start of their PhD programme, a Master (or equivalent) degree in Mechanical Engineering, Physics or Photonics with solid knowledge of optics and its applications
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the field of optics and photonics. The team is working in the Photonic axis and is developing novel optical imaging techniques for biology. In particular, Pierre Bon is developing novel label imaging
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the required documents listed above: Form: Application form for the recruitment process of the Faculty of Science at UO OneDrive (to send the required documents): https://365osu-my.sharepoint.com/:f:/g
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funded by the FIRST TEAM FENG programme of the Foundation for Polish Science, entitled: “An innovative dynamic_DCIS_device mimicking the dynamic architecture of invasion in ductal carcinoma in situ
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: civil engineering, transport engineering, computer science, intelligent transport systems, and transport, with an affinity for health, or biomedical engineering or related health degree and an affinity
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
5 Feb 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile First Stage
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position The Department of Plant Science, Faculty of Biosciences at the Norwegian
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. The position will also focus on developing 3D imaging technology for nerve and synapse detection in tissue samples from tumors. The candidate will study the presence of synapses between breast cancer cells and
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, cell biology, time-lapse microscopy and single cell analysis. You will work in a dynamic and highly interdisciplinary team including computer scientists, experimentalists and clinicians. You will be
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considered a plus. Interest in pursuing a Ph.D. study program will be also valued. Selection process Selection criteria: C1 - Curriculum vitae/Academic evaluation (60%); C2 - Suitability of the candidates