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populations. More about the PhD project The doctoral project will explore the migration, health, and everyday life experiences of African migrants. The research will employ qualitative research methods
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populations. More about the PhD project The doctoral project will explore the migration, health, and everyday life experiences of African migrants. The research will employ qualitative research methods
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carcinoma as a use case. The successful applicant will develop Bayesian statistical and machine learning methods for treatment response prediction using clinical information, molecular characterizations
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carcinoma as a use case. The successful applicant will develop Bayesian statistical and machine learning methods for treatment response prediction using clinical information, molecular characterizations
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, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining the mathematical and
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, and clinical covariates. Apply these methods to spatial transcriptomics and fluorescence imaging data to gain a more precise understanding of complex biological systems. Research Environment
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spatial structures, physical laws, high-dimensional imaging, and clinical covariates. Apply these methods to spatial transcriptomics and fluorescence imaging data to gain a more precise understanding of
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covariates. Apply these methods to spatial transcriptomics and fluorescence imaging data to gain a more precise understanding of complex biological systems. Research Environment & Collaboration The successful
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candidates to conduct research in the field of evidence synthesis. The projects will focus on the development of statistical methods for the synthesis of complex data. About the research group The new research
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network that equips early-career researchers with solid theoretical foundations, advanced empirical methods, and the ability to engage across disciplines. We welcome candidates with strong academic