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, create content and optimize open rate and click throughs for monthly newsletters, develop a strategic social media plan across numerous platforms and post social media content to assist cancer control
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operating plan and budget for Tier 2 operations, managing vendors and external service providers within your span of control. Keep incident management and support delivery aligned to SLAs, project timelines
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, conduct, and optimize laboratory experiments aligned with the project pre-defined goals. Responsibilities include sample collection, processing, and preparation for further molecular, cellular, and
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such as process modelling, thermodynamics, heat and mass transfer, process dynamics and control, optimization or energy-system analysis, and you are interested in applying these disciplines to Power-to-X
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implemented to optimize real-time pathogen surveillance and support public health decision-making. Bioinformatics analysis of sequencing data (Nanopore) • Read filtering (quality, barcodes), demultiplexing
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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Context: Controlling heat and particle fluxes on tokamak walls is a critical challenge for future tokamaks. Achieving burning plasmas near ignition while ensuring sufficient power distribution on divertor
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generation of MOF water adsorbents with optimal indoor air humidity control performance by leveraging state-of- the-art high-throughput (HT) computational screening based on Machine-Learning Interatomic
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 2 months ago
robotics and to develop a comprehensive methodology for the design, modeling, control, and experimental validation of frugal multi stable robots, from the elementary module to the assembled robot. The work
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interaction of magnetic skyrmions in nanodevices. The second objective will be to develop an inverse-design code combining micromagnetic simulations and machine learning methods, in order to optimize skyrmionic