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Field
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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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Do you want to contribute to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics
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the pathways and fate of the Atlantic Water that enters the Arctic Ocean through virtual particle tracking and heat budget analysis. Study how sea ice losses influence ocean-atmosphere-ice exchanges
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions
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FRCs. You will receive training in instrumental techniques, including stable isotope analysis using specialised equipment within the UEA Science Analytical Facilities, as well as high-throughput
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mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Strong programming skills (Python, Julia, Matlab, C++, or similar
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design, open science practices) and data analytic abilities (for example, meta-analysis, simulation studies, multilevel and/or mathematical modeling) In-depth knowledge of (statistical) programming tools
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polarization purity in active array antennas. From this analysis, refine the research focus by identifying areas for improvement and innovation, and establish the primary research objectives. Mathematical
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), mathematical evolutionary modeling (game theory, dynamical systems, agent-based simulations or other), bespoke probabilistic modeling / (Bayesian) data analysis (e.g., in the Rational Speech Act framework
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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