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Field
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Description The PhD researcher will work on the Inventory-Routing Problem with Pickups and Deliveries (IRP-PD) under demand and supply uncertainty. The IRP-PD requires the joint optimization of inventory and
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such as surgery, patient or staff scheduling using, e.g., multi-objective optimization or machine learning approaches and analyzing efficiency-fairness trade offs. The research will be conducted under
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is the radiative cavity surrounding the emitter. This cavity controls how thermal radiation is exchanged between the emitter and the photovoltaic cells, influencing the spatial distribution
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Digital Reading Lab, and the Valentin Haüy Association. The goal of the BD-Access thesis is to draw on theoretical and methodological contributions from psychology and cognitive ergonomics to optimize
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to efficiently transform biochar into battery-grade hard carbons with controlled characteristics and optimized electrochemical performance. The use of microwave plasma carbonisation will allow
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for experiments and building the analysis and optimizer steps under supervision of a PhD student. Core Responsibilities Include: Play with the proof-of-concept command-line tool to generate specifications from
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, programming, and computer simulations. The focus of the project (funded by the Danish Council for Independent Research) is to explore the interaction between optimally controlled coherent (laser) light fields
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presentations, and interdisciplinary collaboration. We offer Excellent supervision and optimal professional and interdisciplinary qualification through our HIGRADE graduate programme The freedom to master even
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quantum chemistry (DFT) and control engineering. PhD position in chemical reaction engineering (Kinetic modeling & thermal runaway) Supervisors: Sébastien Leveneur (sebastien.leveneur@ircelyon.univ-lyon1.fr
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(ILL). The current ML models are optimized mainly for (monochromatic) X-ray reflectometry. We aim to generalize this approach to a wide range of samples and time-of-flight NR, coupled with automatic data