105 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at CNRS
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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strong interest in developing new, rapid, and efficient methods for protein functionalization with CS, as a complement to current enzymatic or metabolic engineering approaches, which are generally limited
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will then be prepared and tested by our collaborator in different types of relevant cells. - Preparation and validation of gene libraries. The recruited person will have to design and prepare DNA
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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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of the facilities required to develop this PhD project: bacterial culture, rheology, surface charge measurements (zeta potential), thermal analysis, X-ray diffraction (XRD), infrared spectroscopy, mechanical behavior
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simulation software as well as analytical calculations developed by the postdoc. Successful results will be used to implement proof-of-concept neuromorphic accelerators in collaboration with international
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one is located on Artem campus in Nancy. The doctoral student will be based at the Jean Lamour Institute (Nancy) and will have access to the necessary resources for development, characterization, and
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requirements. To overcome these limitations, the ANR-funded CALIFORCE3 project explores an innovative alternative: the development of a Membrane-Based Reciprocating Expander coupled with a Linear Alternator
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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