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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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Eligibility criteria - Strong experience in organic chemistry, preferably in heterocyclic chemistry or nitrogenous base analogs. - Proficiency in molecular characterization techniques (NMR, MS, HPLC, UV/Vis
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: - Engineer biosensors and therapeutic circuits in E. coli Nissle and other probiotic strains. - Contribute to the assembly and physicochemical characterization of SPS-coated biohybrids. - Perform 2D/3D tumor
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and production of radiofrequency devices RF circuit production processes Proficiency in circuit and electromagnetic simulation tools (e.g., ADS and HFSS) Specific Requirements Abilities and skills
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within the LTCI laboratory, specializing in the design and security of integrated and embedded systems. Its work focuses on modeling, simulation, and automatic code generation to facilitate the design of
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geography and sociology approaches. GET encompasses 7 research teams mobilizing complementary skills in spatial and in situ observation, numerical and analogic modelling, and laboratory experimentation
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inexorably lost. To improve the efficiency, the future generation of power converters will integrate wide bandgap (WBG) power devices, such as gallium nitride (GaN) or silicon carbide (SiC), that offer lower
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The superconducting quantum circuits group at the Institut Néel in Grenoble is offering a
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required: PhD obtained less than 3 years before date of hire in Electronic Engineering Essential skills, knowledge and experience: Synthesis and design of radio frequency devices Mastering of circuit and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
components from the primary circuit of nuclear plants. In this project, we aim at devising polyhedral methods (that is, numerical methods that are applicable on general polyhedral meshes) for the simulation