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of Logistics. You can read more about the department here . About the position Digital technologies may aid the transition from a linear economy to a circular economy that may help reducing the demand for virgin
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analysis, and documentation. Good networking skills and ability to work in a non-linear, collaborative environment where diverse viewpoints are valued and integrated into the design process. Emphasis will be
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural equation modeling). Familiarity with the opioid and endocannabinoid system and topics related
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of materials mechanics, e.g., plasticity, porous plasticity, crystal plasticity and damage mechanics. Knowledge of micromechanical modelling. Knowledge of non-linear finite element methods. Knowledge of FFT
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. By focusing on non-linear and sometimes unexpected outcomes of policy, planning, and community design, the project aims to reveal how conventional approaches can inadvertently deepen uncertainties
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the PhD candidate may include (non-)linear inverse load estimation and data-driven/machine learning techniques that rely on physics-informed guidance for improved robustness. A key task will be to quantify
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-to-defend denial of service type attacks also from within an OT environment. In this project algebraic methods will continue to be developed to study whether and to what extent protocol-mediated interactions