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Field
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team on how abstract neural representations enable flexible human decision-making, and the postdoc will work closely with the PhD student on shared tasks, models and analysis pipelines. The position
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approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key qualifications include: Strong research experience in deep learning
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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
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, and the development of new model architectures or learning approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
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. Parameterise and document your models so that others can reuse and extend them. Publish your models, datasets and methods open access, and present th em in journals and at conferences. How this position fits You
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. - Designing and conductiong new experiments in order to validate the models. - Interpreting measurements and performing numerical simulations. - Comparing experimental data and numerical results to provide new
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for advanced statistical and time-series analyses. They will analyse behavioral, EEG and eye-tracking data collected during prolonged experimental sessions. The research will focus on the modelling and
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: Molecular modelling and simulation experience during PhD Ability to present complex information effectively to a range of audiences Experience of manipulating and visualizing large datasets We value
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simulations. Related fields with similar expertise will be considered as well. The incumbent will contribute to research that develops, analyzes and maintains both observational and numerical model data sets