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, a four-year research project funded by NWO (Open Competition SSH) and carried out by Vrije Universiteit Amsterdam and Erasmus University Rotterdam. The project examines how young adults encounter and
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statistics high-performance computing version control and reproducible research workflows network science and computational modelling We are particularly interested in candidates who enjoy working
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machine learning or multivariate statistics LLM high-performance computing open-source software development and version control network science and computational modelling We particularly value
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/theoretical physics, soft or biological physics experience with programming is a plus As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe
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with using inference/machine learning tools and basic programming is a plus As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that
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will contribute to the further development of our university? In that case, we encourage you to submit your application. For your application, we would like to learn something about how you think and
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a university, we strive for equal opportunities for all, recognizing that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching
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university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and
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supervised by Associate Professor Jon Roozenbeek, who directs the Influence and Technology Lab at the Vrije Universiteit Amsterdam and the University of Cambridge, along with Associate Professor Ivar
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(University of Amsterdam), who will also be your supervisors. Your research will center on developing cutting-edge estimation approaches for the cure rate and the survival time of the uncured depending on