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Posting Details Posting Details Job Title HR Process Optimization Lead Requisition Number RE53191 Working Title Department Name 3J510:Human Resources Administration Work Location Lexington, KY Grade
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Description/content BIGS DrugS was founded in the year 2010. It is part of the BIGS (Bonn International Graduate Schools ) umbrella programme for structured doctoral programmes at the University of Bonn. BIGS
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-driven insights to ensure content aligns with brand objectives and user needs and improves AI results through content structure and optimization. This role works closely with cross-functional teams
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We
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with 1000× increase in time resolution and 10× improvement in spatial resolution over prototypes. Such an instrument enables to measure the structure of heterogeneous systems including ageing concrete
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
of multiphase reactions Assessment of different process configurations and application scenarios, including techno-economic evaluation Investigation of process intensification opportunities through optimized
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environment, in order to optimize processes and improve their control. The recruited postdoctoral researcher will split their time between IEM (Montpellier) and the MSSA industrial site. Their missions will
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filing, continuation, and abandonment, providing structured recommendations to the Head of KTT in coordination with the relevant Innovation Managers. Optimize resource allocation by identifying non