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program, which includes tailored training, workshops, retreats, and conference travel. You will have access to cutting-edge laboratories and theoretical methods, individual supervision, and a wide range of
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information should be integrated or not. For this purpose, we will use psy-chophysical and neurophysiological methods as well as computational modelling. Tasks in the project include:•Planning and conduction
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accessible, transparent, and reusable. Key tasks include: - Developing, applying, and validating methods for statistical disclosure control and synthetic data generation, ensuring compliance with formal
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to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong basic research program, our long-term goal is to develop innovative therapeutic approaches to better
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to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong basic research program, our long-term goal is to develop innovative therapeutic approaches to better
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers
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, political violence, and transnational threats to peace and conflict. Strong method skills, including in comparative research or statistical methods. Willingness to work in an interdisciplinary and
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Landscape Research) campus in Müncheberg, near Berlin, and is integrated into regional, national, and international (biodiversity) research networks. Your Tasks Develop and apply methods to extract