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supported by the COMMLab , the 6GSPACE Lab , the HybridNetLab , the QCILab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ .
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upload a covering letter/CV, stating how your interests and experience relate to the project. Degree transcripts/certificates and, if English is not your first language, a copy of your English
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and innovative methods for predicting metocean data (primarily surface waves and ocean parameters such as currents, temperature, salinity, etc.) by combining advanced numerical simulations and deep
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be assessed using advanced docking and dynamics simulation techniques, providing insights into their potential interactions. To further substantiate the amyloidogenic potential of these candidates, in
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be complemented by own lab testing e.g., SSRT incl
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the different organelles. Another approach is to use Monte Carlo simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between
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/certificates and, if English is not your first language, a copy of your English language qualification if completed must be uploaded. Contact Details Saimir.Luli@Newcastle.ac.uk
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stiffness. The project will be computational in nature, involving monomer-resolved simulations of such macromolecules, calculating properties such as diffusivities and relaxation functions and performing
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, magnetic, ferroelectric, 2D and correlated materials) and leverage their complex physics to design and simulate advanced nanoelectronic devices. These devices will replicate the finer workings of brain cells