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) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country France Application Deadline 30 Nov 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting
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Deadline 28 Aug 2025 - 08:35 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 21 Aug 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Deadline 12 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon
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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning
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. Responsibilities will include: Developing expertise in audiological test batteries Data wrangling, cleaning, and feature engineering Applying and implementing statistical or machine learning methods, depending
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of teleworking and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access
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of the project is to exploit such data to develop generative models for aptamer design. The candidate is expected to have a strong background in machine learning and statistical physics, with a real interest for
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project aims to investigate the mechanobiological response of murine articular cartilage and intervertebral discs by replicating physiological loading conditions using a novel robotic platform compatible
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
chip designs to promote the formation of a T cell zone and a B cell zone, with the aim of achieving de novo antigenic priming. The candidate will also aim at inducing conditions for mucosal imprinting
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practice-oriented monitoring system, as well as collecting and analysing qualitative data within the EvaCQ project. This project aims to scientifically accompany and evaluate the structural and conceptual