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and ecological impact Experience with Experimental or Computational Tribology, Computational Fluid Dynamics and/or data analysis is desirable Excellent written and spoken English An enquiring and
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-tracking data. A major part of the work will focus on the preprocessing and analysis of multimodal time-series data. The research will specifically contribute to testing the Three-Component Model (TCM
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interested in learning new methodological and statistical approaches. Experience with longitudinal, developmental, or school-based research is an asset. You are proficient in data analysis using R. You have
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latent profile analysis. Your main tasks and responsibilities in this project are: As a PhD candidate, you will coordinate this multicentre observational clinical study. In Amsterdam UMC you will include
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to further develop concepts in nonlinear model reduction Possible research directions include the development of nonlinear modelling and control approaches for fluid-structure interactions, material with
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competences in one or more of these categories: railway/structural engineering, structural dynamics, vibration measurement and analysis, structural health monitoring, data science or related fields. Programming
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Background Robotic manipulation has achieved remarkable success in structured industrial environments; however, reliable autonomous manipulation of small, soft, and deformable objects in confined spaces
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Decade of Science for Sustainable Development,” to be carried out at the Center for Functional Ecology at the University of Coimbra. The plan is structured as follows: 1. Doctoral programme curricular
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films with controlled thicknesses (from a few atomic layers to a few hundred nanometers) and morphologies—where the few-atomic-layer regime is particularly relevant to borophene-related structures and
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simulation data Excellent programming skills, preferably in Python including code versioning in GitHub Experience with statistical analysis and/or machine-learning methods Knowledge of protein structure