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of ultrasound therapy and their control in real time. This team develops new methods for the control of ultrasonic cavitation, a phenomenon that enables the permeabilization of numerous biological membranes
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developed by the team. Experimental study of hydrogen combustion for gas turbines Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5502-LAUSEL-004/Candidater.aspx Requirements Research
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: To develop powerful tools for the synthesis of innovative thermodynamic cycles. The project combines a methodological study and a practical application to harness the potential of deep learning in process
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subject developed within an international framework, benefiting from European funding and computational resources. The interested candidate will ideally have good knowledge of the following methods
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PhD project aims to develop novel engineered proteins with tailored cell-recognition and activity profiles, using a combination of: Computational protein design to reprogram receptor recognition and
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Alpes, the program aims to formalize a new science of risk in order to contribute to the development of a national strategy for disaster and risk management in the context of global change. The PhD
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PhD on 2D quantum photonics : towards neuromorphic applications with 2D ferroelectrics materials M/F
unraveling the mechanisms governing domain dynamics, such as flipping and domain wall propagation—central to the emerging physics of sliding ferroelectricity. The ultimate ambition is to develop a strategy to
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main mission will be the experimental development of a laser
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producing functionalized pyoverdine, which can then be conjugated to different molecules (for example, antibiotics) to develop targeted vectors or to explore new properties of the siderophore. In this context
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candidate will be responsible for the full range of activities related to the development, testing, and evaluation of the learning models. They will also receive support from LOA experts for the execution