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Field
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Hermite processes. Self-similar processes are stochastic processes that are invariant in distribution under a suitable time scaling. The purpose is to offer a deeper analysis of this class of stochastic
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UVP (Underwater Vision Profiler) database including Particle size distribution (PSD) and concentrations from ship-based rosette deployments, BGC-Argo profiles, gliders, moorings, and other platforms
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maps of the distributions of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial for understanding fundamental biological mechanisms, but it
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main goals will be to design methods and tools to provide quantitative information of nanoparticle spatial distributions in these tomograms. Questions that may be explored during your postdoc include
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criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training
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angiopathy (CAA), although findings remain inconsistent. These observations suggest distinct disease pathways depending on Aβ distribution, which may hold prognostic value. At the recent AAIC conference, Lilly
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inclusion creates exceptional educational opportunities which prepare students for success in a global society. Essential functions (job duties): Based on the year of the scholar/fellow, this distribution
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processes that are invariant in distribution under a suitable time scaling. The purpose is to offer a deeper analysis of this class of stochastic processes concerning their stochastic and statistical analysis
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researchers and faculty of EEWRC to fully utilise the field of energy management and Distributed Energy Systems to propose, drive and implement relevant research lines. This role is designed for someone eager
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Technology at Lund University, The Faculty of Engineering, is unique in covering the entire technology stack — from wireless hardware and radio systems to distributed cloud platforms and applications. This broad