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you must: have a master’s degree (or equivalent) in Computer Science. have strong computational skills in algorithm design and data analysis. have experience with courses and projects in Bioinformatics
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description Join the Extreme Materials & Mechanics (X2M) Group at the Department of Materials Science and Engineering (MSE), TU Delft, in a cutting-edge PhD project that aims to revolutionize how stainless
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. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant patient outcomes. You will use a real-world case study on
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limitations —driven to explore solutions that go beyond what verification alone can achieve. This PhD project focuses on developing analysis and program repair techniques that enhance software interoperability
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systems analysis, multi-criteria decision analysis, or environmental economics Experience working with stakeholders, industry partners, or in applied sustainability projects. What we offer As PhD
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apply new MRI sequences to visualize various aspects of the brain clearance system. • Develop and perform advanced data reconstruction, post-processing, analysis, and interpretation to gain new insights
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. Experience in data analysis using Python. The outcomes of this project will be disseminated to the scientific community and a general audience through presentations at (inter)national conferences and through
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carry out experiments using state-of-the-art methods Develop strong skills in data analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own
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of general relativity, cosmology, and data analysis, and help build the tools that will make dark matter discoverable with future gravitational wave interferometers? Join GRAPPA as a PhD candidate within the
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diversity affects movement and musculoskeletal loading, guiding more equitable rehabilitation, prevention, and performance programs. The PhD candidate will pioneer a unique large-scale experimental data