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through different modules. Examples of these modules include the following: introductory modules (international health fundamentals and policy & politics), basic research topics, statistics, scientific
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solid state theory, statistical and biological physics, mathematical physics, quantum information theory, and nuclear physics. Course organisation All graduate studies (MSc and PhD) at the department
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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental
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-source contributions. Demonstrated experience with spatial-AI or related spatial-data methods (e.g., multi-layer spatial queries, spatial statistical modeling, or atlas-based registration of multi-modal
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qualification (statistics, epidemiology, animal welfare, biological safety, presentation techniques) Course organisation The course of study is divided into four parts: experimental research, interdisciplinary
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for anonymized statistics that all state employers include in their annual reports. We hope you will apply for the position with us. We offer A workplace with good development and career opportunities. Good
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) at the University of Konstanz brings together researchers from six disciplines – economics, linguistics, political science and public administration, psychology, sociology and statistics – to perform high-end
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' Decision-Making in Climate Adaptation: Research Visit to Monash Sustainable Development Institute Monash University, Melbourne, Australia Thu Tra Le (Tilburg University) Developing a novel statistical method
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experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular