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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University external link . About us A
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Job description We are seeking a highly motivated PhD candidate to join our research group in the field of piezoelectric microsystems. The successful candidate will work on the design, modelling
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on the context. To tackle this challenge, we are seeking a postdoctoral researcher with expertise in speech signal processing, optimization, machine learning, and models of hearing and perception. This is a full
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reasoning to integrate data and theory. Methods include regression analysis, experiments, Bayesian modeling, and abductive reasoning. Our work in this area also covers how firms learn and protect knowledge
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different, so in the beginning we will devote attention to your onboarding. This position is a good fit for you if you recognise yourself in the following: you have a solid background in probability
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: MSc in materials science engineering. Backgrounds in chemistry, physics, computer science or a related area are also welcome. Good expertise or strong interest in numerical modeling, machine learning
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), photoplethysmogram (PPG), Electrodermal activity (EDA), and contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies
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In this team, we are looking for someone who can work independently. Every job is different, so in the beginning we will devote attention to your onboarding. This position is a good fit for you if you
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focused on modeling multidirectional loading in anchors for floating offshore wind turbines. The role is part of the European project TAILWIND (tailwind-project.eu) and aims to integrate experimental data
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and (PBPK) modeling to understand the biological underpinnings will be used. You will work on a highly multidisciplinary project that aims at the development of ‘fit for purpose’ immune therapy PET