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candidate will be requested to formally apply for enrolment as a PhD student at NIH. Employment as a PhD fellow will be conditional on successful enrolment in the PhD program. Job description Your main tasks
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candidates to conduct research in the field of evidence synthesis. The projects will focus on the development of statistical methods for the synthesis of complex data. About the research group The new research
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systems. By combining microclimate modelling, remote sensing data, and data-driven methods, the results are integrated into a Digital Twin framework. The research will support predictive risk assessment and
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plan proposal for academic supervisor(s) The project description must describe the topic, research question, theoretical basis, and choice of method. In addition, you must provide information about your
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with human values, and safety in current language technologies. As NLP-based systems are increasingly deployed in society, there is a growing need for methods to understand and mitigate the ethical risks
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) CAE/CPE: grade B or A In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases, the candidate’s language skills will be assessed in a personal interview
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for the position. Preferred selection criteria Knowledge of digital assurance frameworks, verification methods, or formal modeling Familiarity with adaptive or machine learning/artificial intelligence systems
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physics-based models and data-driven methods, to support interpretable and robust testing of autonomous behavior. Application of formal methods and reasoning techniques to support safety arguments
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, formal documentation of language skills can be relinquished. In such cases, the candidate’s language skills will be assessed in a personal interview. A solid knowledge of quantitative and qualitative
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation