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on cognitive diagnostic assessments and student learning in introductory STEM courses, with a focus on Bayesian quantitative methods and mixed-methods education research. Position Number 4C1852 Department
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reports and grant proposals. You should possess a PhD or DPhil (or near completion of) in Machine Learning or Maths. Informal enquiries may be addressed to jakob@robots.ox.ac.uk For more information about
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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of society they came, b) to investigate the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek knowledge. The project team will
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the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek knowledge. The project team will create a four-part database, corresponding
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/or PhD students where relevant and even in other universities part of the Consortium and contribute to the academic life of the GID/GPIO department. We expect and encourage post-docs to teach 0,1 FTE
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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the time of their application, a PhD degree in geology (including (bio)geochemistry, mineralogy/crystallography or experimental/isotope geochemistry/petrology), chemistry, physics or materials sciences. We
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assessment, programming and machine learning. If so, we encourage you to apply! You will develop exposure and physical vulnerability maps for past and future (1970-2100) and integrate these into a flood risk