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level in fluorescence Guided Surgery for Cancer: brain, breast, skin cancer. Funded by the INSERM Booster program Surgery of the future. This exciting and broadly scoped position is hosted at CREATIS Lab
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an internationally renowned INSERM Unit. The candidate must appreciate teamwork, have good interpersonal skills and be rigorous and organized in his/her work. Experience in molecular/cellular biology and murine models
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An unprecedented model in France combining a university, a university hospital (CHU de Nantes), a technological research institute (IRT Jules Verne), a national research organization (Inserm) and the Grandes Écoles
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The global objective of the present project is to evaluate a multimodal
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Application Deadline 13 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not
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Offer Starting Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Full-time Hours Per Week 37h15 Offer Starting Date 5 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific Context Microalgae are emerging as one of the most promising
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The RMeS laboratory is composed
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
-Assisted Intervention, Oct 2024, Marrakech, Morocco. pp.1-10, * B Lodé et al. Evaluation of an Automatic Segmentation Model as an Aid to Detect Multiple sclerosis Spinal Cord Lesions. European radiology 2025