30 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Ghent University
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manufacturing machines (looms, bobbinfeeders, ...) under dynamic conditions. Such simulations are very challenging due to the use of diverse materials (natural and synthetic fibers, yarns and fabrics) which
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of textile-machine interaction under dynamical manufacturing conditions[Net salary (after taxes) starting from 2600 EUR/month]We are looking for a researcher to work on the finite element modelling
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environmental, economic, and social sustainability of offshore wind farms (OWFs) across their full lifecycle. The platform will integrate life cycle assessment (LCA), marine ecosystem impact models, and a digital
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acquired and heritable disorders, by using PXE as a model. Indeed, PXE presents many of the molecular and treatment challenges which are common in ectopic calcification: i) many of the variants found in
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-spotted spider mite, is among the most harmful pest insects worldwide. Due to its exceptional ability to adapt to various crops and pesticides, this mite serves as an excellent model system for studying
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); novel obfuscations and obfuscation recipes to defeat LLMs and other AI-based reverse engineering tools; the use of AI techniques and LLMs to optimize reverse engineering strategies; modeling techniques
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vouchers. Click here for a complete overview of all the staff benefits . How to apply Send your CV, copy of your diploma (if already in your possession) and a motivation letter to mariadelrocio.perezbaca
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preclinical experiments on ex vivo brain slices and in vivo rodent models to investigate and optimize the effects of TIS Analyze ex vivo and in vivo electrophysiological and fMRI imaging datasets Collaborate
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large areas and in dynamically changing contexts. You explore new opportunities for wireless audio use cases enabled by the localization capabilities of wireless technologies. The focus will be
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. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic