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simulations, complex systems analysis or other data-driven methods. Requirements The candidate based at CWI will have either a computer science or mathematics background, with a strong affinity for energy
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the following documents: CV The transcripts of your Master’s studies to date A completed copy of the application form A copy of (a draft of) your Master’s thesis (optional) A letter of motivation (preferably
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) Curriculum vitae Copy of university BA and MA grades (transcript) One sample of written work (master thesis, published article, or course paper) Names and contact details of one referee The deadline
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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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the IRDS roadmap for metrology . The project will involve mathematical modeling, numerical simulations and, potentially, measurements. You will mainly do your programming work in a mixed programming
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motivation letter; your curriculum vitae (max. two pages); the names, telephone numbers, and email addresses of at least two references; a copy of your diploma, or a letter from your university stating when
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working in a collaborative research environment. It is a plus, not a requirement, if you are already familiar with cosmological or N‑body simulations, basic concepts in gravitational wave data analysis
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commenting on performance and expected date of completion. Copy of (Research) Master thesis. If the MA thesis is unavailable, the applicant should clarify why this is the case and attach a different writing
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models to simulate gastrointestinal navigation and refine the system’s interface and functionality based on clinician feedback. Contribute to preclinical deployment where the system will be used in early
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency