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related field, and a strong interest in biomedical applications. Experience in machine learning, statistics, or high-dimensional biological data analysis is advantageous. Ideal candidates are curious
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, mathematical logic or statistical learning theory. For PhD position 2, we appreciate prior experience in implementing deep learning models for graphs and networks. Our offer As a PhD candidate at UT, you will be
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) a statistical package (e.g., Stata or R). Excellent command of English. Applicants whose native language is not English are therefore required to demonstrate English proficiency by: – proof
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modeling, led by five team members. The current PhD position focuses on developing surveys and conducting statistical analysis of the unique microdata collected from households and firms across three
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://www.academictransfer.com/en/jobs/357567/phd-in-agentic-ai-for-gameplay-… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in physics, applied mathematics, data science, statistics
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various data sources, including nationwide registries from Statistics Netherlands and large-scale longitudinal cohort studies, to investigate CHD, MI- and ischemia-related outcomes, intermediates, and risk
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Statistics Netherlands and large-scale longitudinal cohort studies, to investigate IS and ischemia-related outcomes, intermediates, and risk factors. You will enrich these data sources with relevant
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postdoctoral researcher, who focuses on the data-driven development of micromagnetic modelling tools, as well as with a PhD candidate focusing on the paleomagnetic information stored in (statistical) ensembles
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is necessary. For PhD position 1, we appreciate prior mathematical exposure to at least one of the following topics: random graphs, mathematical logic or statistical learning theory. For PhD position 2
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expertise in biology bioinformatics, AI, genetics, neuroimaging, computational neuroscience, psychology, and statistics, together contributing to a deeper understanding of the basis of human brain