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team (photonics, neuromorphic computing, software development, microfabrication) to develop and implement original solutions. ● Contribute to the development of the startup's intellectual property and
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modal identification. The approaches were tested in light fluids by decoupling the analysis of random ambient noise from mechanical and acoustic sources. The aim of the present post-doctorate is to
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waste silicone-based materials back to chlorosilanes. The direct cleavage of Si-O bond to form back Si-Cl is however very challenging. An indirect pathway has been elegantly discovered using BCl3 as an
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catalysts and testing them in targeted catalytic reactions. This project will involve: - The characterization of original heterogeneous catalysts (before and after catalysis) using various techniques
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publish results in leading conferences and journals The postdoctoral researcher will be based at LIS in Marseille but will collaborate closely with colleagues at LPT in Toulouse. Short research stays in
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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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the movement of a wide range of signalling molecules such as transcription factors, small RNAs, hormones, pathogens/disease factors, but also nutrients (hence carbon allocation) between cells, tissues, and
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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Programming is a set of technologies underpinning much of modern logistics and manufacturing. The simplex method is one of the key algorithmic components of any MILP software package. This algorithm is known
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modification. • Electrochemical characterization (impedance spectroscopy, polarization curves, stability tests). • Structural and microstructural analysis (XRD, SEM, TEM, XPS, etc.). • Collaboration with