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knowledge in optimization techniques Excellent scientific communication skills Advantageous skills, knowledge and experience: Experience in networking Experience in network modeling and optimization
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Description This postdoctoral position is part of the CPER RITEMA project (Hauts-de-France Region). It contributes to the scientific axes of “energy efficiency and optimization of consumption in mobility and
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obtained by MOCVD deposition. A PhD student at LMGP is currently developing and optimizing the operating conditions to control nanowire geometry, network density and connectivity, and coverage. The recruited
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related field, with a strong focus on optimization. Technical Skills Proficiency in programming, preferably in Python or a similar language commonly used in optimization. Familiarity with mathematical
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) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks, 3) problem solving
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imaging systems. Activities : Adapt and optimize the SOLANO miniaturized hexapod robot (Symétrie) for high-precision dynamic biomechanical tests. Improve actuation control (speed, smoothness, accuracy
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/agronomy interface. # Interact with industrial partners (MEDISO, RS2D) for sequence optimization and integration of methodological developments. # Contribute to the creation of a sustainable software library
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di Cuneo) will focus on: Sharing French and Italian experiences and jointly reflecting on the optimal placement of new measurement and observation instruments to be deployed during the project; Pooling