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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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quantify model uncertainties For further information visit our website http://www.fz-juelich.de/ibg/ibg-3/EN/Home/home_node.html or contact us via the contact form. Your Profile: Master’s degree in
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PhD Scholarship This PhD project will develop an Australian-focused modelling framework to assess carbon and biodiversity market designs, comparing environmental and economic outcomes to inform
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modelling in addressing these challenges (e.g. Raoux et al. 2017; Noguès et al. 2023). The initial study focused on the Seine Bay area, extending northwards to the boundary of French waters, and concentrated
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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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graphics. Classical representations are relatively easy to render, while being difficult for generative machine learning models. A recent breakthrough in this area is the Neural Radiance Field (NeRF) and
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, or artificial intelligence. Knowledge of control systems, system modelling, and data-driven modelling approaches. Proven ability to discretise continuous-time models and implement real-time estimation algorithms
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Design of a simulation model for the cutting of metallic and non
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-ON-BRAIN (https://cordis.europa.eu/project/id/101227124 ) Project Reference: 101227124 Application deadline: 15/05/2026 Position Overview One PhD position is available in the µOrganoLab at the Institute
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Offer Description Scope of work The successful PhD candidates will be part of the group created by dr Jacek Herbrych (https://jacekherbrych.github.io ) within project NCN SONATA BIS 13 2023/50/E/ST3/00033