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be computed using the appropriate modelling techniques. Method and models will be developed when necessary. Job requirements The ideal candidate: Holds an MSc in Mechanical, Chemical, Materials Eng
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in Design, Design Engineering, Industrial Design, Product Design, Human-Computer Interaction, Computer Science, or a related field. Proven experience with, or a strong interest in, sensor-based system
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We are looking for a PhD student to help us develop practical cryptography for the post-quantum era. This (fully funded) PhD studentship focuses on provable security. Information You will develop the next generation of post-quantum cryptographic schemes that are designed with implementation...
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of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce
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also able to work independently. You are furthermore in possession of: An MSc degree in environmental sciences, computational ecology, quantitative biology, or closely related discipline Affinity and
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. Our program combines experimental cardiovascular research with robust clinical cohort analysis to refine and personalize circulatory support strategies. As a PhD candidate, you play a strategically
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years, you will write your PhD dissertation. During this period, you will also teach in our Sociology programme (10% of your time) and present your work at international academic conferences and at public
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institutional challenges through experiential learning games), a project within the NL-CGIAR Research Programme II – WFN call, is looking for three highly motivated PhD candidates to contribute to this project
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sciences, biomedical engineering, computer science, statistics or a related field, or you expect to obtain your degree in the near future. • A strong affinity for quantitative research and data
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attention for professional and personal development. What you do You will be primarily responsible for experimental design and development of AI-driven computational tools for detection and non-invasive