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, we do not know how the shape and flexibility of particles control their preferential sampling of turbulence. The main objective of the thesis is to optimize particle shapes and mechanical properties
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and tentatively entitled "Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing", and will address
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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d’Université Côte d’Azur, 2004 Route des Lucioles, 06902 Sophia-Antipolis, France Context and project: Due to its proven versatility, optimal transport (OT) is becoming more and more popular within the machine
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functions as a reliable, scalable, and high-performance backbone for all Centres of Excellence. This role is responsible for designing system architectures, optimizing compute utilization, and enabling large
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focus on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has
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particle trapping and related measurement techniques. Relevant skills include understanding of fundamental principles, design, optimization, computational electromagnetic, mechanical and thermal modeling
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optimization of elite germplasm transformation workflows for Corn. This role focuses on throughput, reproducibility, and industrial-grade delivery of high-quality transgenic and gene edited events
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or participated in internationally leading instrument development projects with landmark achievements and core patents; be proficient in design theory, manufacturing processes, and performance optimization
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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access