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. The INSyGHT team is an emerging team within TIMC led by Dr Abdelkader Zebda and composed of three permanent researchers, an emeritus professor and a technician. In addition, the team includes four postdocs and
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single needle, a robotic platform introduces complex motion control challenges that require the development of adaptive toolpath algorithm. This algorithm will ensure continuous and smooth deposition while
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, data-driven algorithms, deep reinforcement learning The Pprime laboratory is a CNRS Research Unit. Its scientific activity covers a wide spectrum from materials physics to mechanical engineering
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to develop Computer Vision algorithm and Interfaces for collaborations with Historians teams. Specifically, the research will focus on structured data with clear repeated patterns, such as characters in a text
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is broadly distributed within the nucleus. This spatial organization is believed to mostly rely on the association of heterochromatin with the nuclear lamina, which in turn participates in gene
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Responsibilities: (1) Conduct X-ray diffraction (BCDI) and electron microscopy experiments to analyze the crystalline structure and strain distribution of protein-superlattices in sponge spicules. (2) Develop and
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quality monitoring system. Potential applications will initially focus on drinking water distribution networks. The main sources of water pollution are relatively well documented in the literature
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
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candidate will join the SIGNAL team under the supervision of Dr. Yoan Coudert. Research topic : The recruited postdoc will investigate the genetic mechanisms underlying the pre-patterning and development at a
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the French National Research Agency (ANR, ref. 25-CE02-1280, https://qualag.hub.inrae.fr/ ). Led by Stéphan Jacquet (INRAe), the overall project aims to: (i) better assess the distribution and dynamics