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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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on developing and studying privacy-preserving methods, such as differential privacy, Bayesian privacy, federated learning and synthetic data. The aim is to enable meaningful analyses, such as identifying disease
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fibrillation. Your work will involve applying Mendelian randomization and other causal inference methods to uncover potential genetic pathways contributing to disparities in stroke risk. The project combines
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contribution Research approach/method. Literature references Tentative time plan Societal and scientific relevance and impact of research project Please note that we request the above to infer PhD applicants
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funded through a grant from the European Research Council (ERC Starting Grant, acronym: DeMIST). Principal supervisor is Tenure-track Assistant Professor Victor Yin, Department of Pharmacy, victor.yin
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design. The project will have a strong empirical component. The PhD student will work with behavioural data, immersive experimental environments, and human-centric sensing technologies such as eye-tracking
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, or higher education) Experience with developing immersive technologies (e.g., XR/VR/AR) and/or doing multimodal data analysis (e.g., eye-tracking, gesture tracking, interaction analysis). You can Write
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experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments). • Demonstrated track record of publishing scientific results in peer-reviewed
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/or internationalization theory with insights from economics, sociology, psychology, and economic geography. The department has 45 faculty members (professors, associate professors, tenure track
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, structural biology or related subjects, but it is essential that they have a solid, hands-on experimental track record and a strong interest in protein chemistry and enzymology. The project will require one