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and communication strategies. This ambitious project invites passionate PhD candidates to contribute to pioneering studies that merge theoretical insights with practical applications, marking a
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of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) PhD Student to develop and apply in vivo functional genomic methods. Project
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) PhD Student to develop and apply in vivo functional genomic methods. Project
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100%, Zurich, fixed-term The Earth Ecosystem Dynamics Group (Geological Institute, Department of Earth Sciences) at ETH Zurich is looking for a highly motivated PhD student with an interest in past
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solid and fluid-like behavior depending on loading conditions. Concerning release conditions, although numerous authors have formulated statistical-mechanical approaches to calculate release depths
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, statistical mechanics, Monte Carlo modelling is an advantage Your workplace Your workplace We offer ETH Zurich is a family-friendly employer with excellent wokring conditions. You can look forward