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with regular waves. Extending the model to full two-way coupling, allowing feedback from flexible vegetation on wave-induced flow. Applying the fully-coupled model to simulate interactions under both
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of GPs across Denmark, including community level characteristics, such as economic status, rurality, and social infrastructure. The working environment and family factors of GPs practicing in underserved
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teaching plays a considerable part in our identity, and we run three educational programmes. In our approach to working with society, industry, and policymakers, we are a team-oriented, knowledge-sharing
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of Health and Medical Sciences. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. The PhD student is
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group at CIE. The aim of the position is to build strong knowledge and competencies within the field of electrochemical storage device design, simulation and testing. Job description You will conduct
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. Experience in modeling biological processes. Experience in use of process simulation tools such as Matlab, Aquasim, Superpro Designer or similar. Expertise within fermentation technology and/or gas
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results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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(pressure, temperature, etc.) Signal conditioning and digitization for heterogeneous sensor inputs System-level validation and interfacing with SNN-based hardware What You Will Do Design, simulate, and verify
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You Will Do Design and simulate CMOS circuits for spiking neuron models Develop and validate digital/mixed-signal SNN hardware Collaborate with neuroscientists and system-level designers Contribute