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, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration. Your work will be
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information and previous trajectory history. The VP AURI (Active Uncertainty-aware Robot Imitation) project aims to apply Bayesian machine learning methods, such as Gaussian Process Regression and Bayesian
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, including mechanical and electrical CAD Multiphysics numerical simulations Prototyping drone systems or autonomous vehicles The candidates are expected to collaborate with industrial partners and other
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(copy of original/official English translation). Complete list of publications. Publications most relevant to the position. Summary and documentation of research and academic experience including
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: Motivated cover letter Special PhD application form (available here ) Curriculum vitae Bachelor's and Master’s degrees or equivalent (copy of original + verified English translation) A complete list of
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stating your specific interest, motivation, and qualifications for the project in question (max. two pages) A curriculum vitae including information on previous employment A full list of publications Copy
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held in July or early August. Further information We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed. The assessment of candidates
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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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Doctoral School of IT and Design Further information We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed. The assessment of candidates
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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