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meeting these needs, this PhD project will involve the research and development of new computational technologies, based on the boundary element and finite element methods, in a high-performance computing
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practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings
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statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings at national and international scientific conferences Communicating research
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The research project aims to improve the wind resilience of towers and tall structures considered part of critical infrastructure (CI) across Europe. Through experimental aerodynamics via boundary layer wind
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programs (such as MS Office and Origin) - Familiarity with electrochemical methods (cyclic voltammetry, potentiometry etc.) - Motivation to read, write, and discuss scientific publications Description: 4
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offered in this context, with the objective of modelling, coding, and field-validating a new mechanistic analysis tool for pavements containing fungal-bound granular layers. The research will focus on urban
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(subproject A1): This project aims to enhance smartphone-based survey methods as one component of future multi-method travel surveys, to achieve representative samples and travel estimates, to collect
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skills include: Interest or background in composite materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a
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materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a plus Familiarity with FE simulation tools such as ANSYS
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase