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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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We are seeking an outstanding candidate for a PhD fellowship in the field of computational fluid and solid mechanics. The fellowship will start on September 1st, 2025, or as soon as possible after
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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
for you? As a PhD student in our group, you will: Be trained at the forefront of biomaterials, synthetic biology, and drug delivery science Have hands-on access to world-class infrastructure and cutting
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, synthetic biology, and drug delivery science Have hands-on access to world-class infrastructure and cutting-edge techniques (e.g., electron/confocal microscopy, flow cytometry, DLS, FTIR) Join a highly
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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with expertise in the nutritional and chemical implications of industrial food processing. Close collaboration with the Research groups for Nutrition and Food Production Engineering, respectively, will
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Engineering, respectively, will be important. You are expected to actively contribute to joint research projects, experimental design, and data interpretation across disciplinary boundaries. Responsibilities