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more (for an overview of these technologies, see http://behaverse.org/ ). Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral
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candidate to perform molecular dynamics simulations of different genetic variants of the sodium channel Nav1.1, which are associated with different forms of epileptic syndromes and migraine. The aim
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Finite Element Model of the Larva Body: Utilise existing Drosophila larva CT-scan data to segment components such as the cuticle, muscles, and mouth hook. Implement finite element simulations within
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The SiMul team (https://cran-simul.github.io) at the University of Lorraine is offering a fully funded PhD position on the theoretical foundations of self-supervised learning, focusing
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projects related to magnonics, spintronics and magneto-acoustics. We are looking for a candidate with a strong motivation for experimental work, although simple modelling and numerical simulations are also
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engineering of non-equilibrium cold plasmas, as well as environmental and biomedical applications, via fundamental studies ranging from basic data to the multi-physics simulation of discharges and reactors and
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conditions and validate the developed models. Candidate Profile: We are looking for a candidate with a background in numerical simulation, who is also interested in learning experimental electrochemistry
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suppression, dosage compensation) will be addressed. These models will build on the recent development of chromosome-scale simulations developed for the study of sex chromosomes (2–5). References: 1. N. O
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on quantum logic protocols [4-6]. At every step, the student will develop theoretical models and conduct numerical simulations to guide the experiments. These experiments and findings will pave the way toward
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the development of tools for the continuous simulation of powder flows, similar to what we know how to do in fluid mechanics. Recent progress in the description of the behavioural laws of granular media suggests