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are looking for PhD candidates interested in research at the intersection of machine learning (ML) and quantum many-body physics. The successful candidate will work with Dr. Anna Dawid and Dr. Hao Wang
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questions, and solutions-driven research to help solving major societal challenges. The latter include protecting nature’s biodiversity, creating sustainable biotechnology and agriculture and increasing good
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, criminology, victimology, forensic psychology and pedagogy – moving past mono-disciplinary approaches to research into violence and public order. In our data-driven research, we seek to help design evidence
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qualitative interviews and survey methodologies, demonstrated by published research in the field. Proficiency in programming languages (e.g., R, Python, Stata) for data analysis. Experience with assistive
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assistant and finally write a PhD thesis detailing the outcome of the research activities. Selection criteria A master’s (or equivalent) degree in Computer Science, Mathematics, Logic, or a highly related
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data. Research assistants are currently hand-coding a training dataset; Apply large-N/big data methods, tools, and models to the study of political violence, armed conflict, and (counter-)terrorism
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to develop strategies that allow for the first time the degradation of proteins located in the Golgi apparatus, opening ways for a new therapeutic modality. Recent contributions of our research group in
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to develop strategies that allow for the first time the degradation of proteins located in the Golgi apparatus, opening ways for a new therapeutic modality. Recent contributions of our research group in
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, including thesis supervision, within the existing Bachelor's and Master's programs located in both Leiden and The Hague. The Assistant Professor will also conduct academic research in the field of political
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that help to detect signals of emerging threats. The project will build on the theory of high reliability organisations (HROs). This project will explore whether HRO principles help to detect crises in a