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OCT system must be optimized in terms of noise and detection efficiency. You will do this based on experiments and physical modeling of SC, detector, and system performance. Second, the OCT system must
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work on the following: Design of an efficient foundation model (FM) for generalization across patient anatomies, pathologies, and coil arrangements to infer optimal sensor settings from partial data
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like to know more about the different phases within the PhD trajectory? You can read more about this on this page . As part of this project, you will use innovative neuronal cell models and advanced
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architecture, preferably with a focus on structures. Know the basics of (structural) glass and of Dutch masonry (heritage) buildings. Have a solid understanding of computational/numerical modelling and
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(8%) and end-of-year bonuses (8.3 %), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For
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particular interests and strengths. Your team Your main supervisor will be Matthijs Vákár . You’ll also be supported by secondary supervisors who are experts in machine learning, chosen to match your profile
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loading environment. Manufacturable in biocompatible materials such as titanium. Leveraging mecial imaging, you will extract patient-specific loading conditions, build high-fidelity finite element models
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incorporated in design methods and should fit the workflow of designers. The PhD-1 position will focus on design aspects that determine feasibility of remanufacturing and upgrading, for replacement spare parts
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methodologies to delineate the early phases (seconds to minutes) of plant signal integration, using Arabidopsis thaliana as a model plant. You will identify proteins that are rapidly phosphorylated upon co