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(https://www.hereon.de/index.php.en ) and Institute of Surface Science (https://www.hereon.de/institutes/surface_science/index.php.en ). Collaborators: Uppsala Universitet, Sweden and Quintus
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foundations in classical probability theory and can be seen as a generalization of the Bayesian framework, bringing an additional degree of flexibility to express different types of uncertainty. In machine
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” website: https://www.rsm.nl/faculty-research/departments/strategic-management-and-entrepreneurship/phd-in-strategic-management/ Opens external Keywords Entrepreneurship, Innovation, Strategy Renewal
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simulation of health-relevant biomolecular structure, dynamics and networks Computational modeling of health relevant signals that report biomolecular activity in model systems vivo Successful candidates will
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different
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assignments engage students in faculty coordinated service projects. Students gain insight through formal, structured reflection and gain practical experience while making a difference in society. THE ROLE
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to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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web structures and identify any change in these marine ecosystems. You will assist in the development of ecosystem models to examine the wider effects of these changes. The successful candidate will
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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods