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of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student
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of simulations (phyton, Matlab, C) Proven theoretical education in technical and/or organic chemistry Proven theoretical education in combustion and thermal conversion You must have a professionally relevant
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enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and
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/nanofabrication, power electronics, electronic packaging and integration.• Experience with numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc.• Strong interest in multidisciplinary
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leaflets. However, most studies to date have focused on symmetric bilayers. This project addresses this gap by integrating molecular dynamics simulations with experimental techniques such as solid-state NMR
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses, drugs, antibodies, human lymph system, seconds, days, years). This project
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interdisciplinary, and together we contribute to science and society. Your role Pathogenesis in the age of the microbiome (MICRO-PATH; https://micro-path.uni.lu ) is a highly competitive, interdisciplinary, research
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manufacturing. As steel is highly recyclable its usage helps in creating a more sustainable world. For simulations of industrial processes concerning such complex materials one must typically rely on continuum
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quantum media—and seeks to deepen our understanding of their behaviour in ultracold atomic gases and complex quantum materials. By harnessing ultracold atoms as highly controllable quantum simulators