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Field
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industrial partner, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally
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methods for dealing with time-dependent and/or unmeasured confounding. We seek an excellent, open-minded, and team-spirited PhD candidate who is interested in statistical aspects of secondary data analysis
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offers a stimulating scientific environment in which research focuses mainly within the research programmes (1) Algebra, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical Analysis, and (3
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PhD position in Mass Spectrometry-Based Antibody Analysis Faculty: Faculty of Science Department: Department of Pharmaceutical Sciences Hours per week: 36 to 40 Application deadline: 1 December
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Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network
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For more information about the position, please contact Dr. Ilse Voskamp, assistant professor, email: ilse.voskamp@wur.nl. Questions about the procedure? Get in touch with Jessa Rozema, Corporate Recruiter, via jessa.rozema-stol@wur.nl Ready to apply? Click on the application button next to the...
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skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management; Experience in data analysis, statistical and econometric modeling; Good skills in
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candidate with a strong interest in the quantitative study of environmental noise and its impact on the marine ecosystem. Preferred backgrounds include: physics, applied mathematics, engineering, seismology
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to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
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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