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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the supervision of Dr. Farah Shamout & Dr. Hanan Salam and in close collaboration with Prof. Nizar Habash. The researcher is expected to have strong machine learning & AI skills and exemplary passion and motivation
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. The candidate will also collaborate with interdisciplinary teams and may contribute to projects involving user-centered system design and evaluation. The duties of the postdoctoral researcher will include
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artistic research. The postdoctoral role is associated with the research project ‘Reparative Encounters: Repairing Danish Colonial Legacies through Arts-Based Collaboration’, funded by the Carlsberg
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conceptual understanding and collaborative inquiry, and institutional change via reform efforts inspired by Science Education Research and/or the Learning Sciences. The Post Doctoral Scholar will be expected
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, professional development opportunities, and a first-class research and teaching environment with strong support for international collaboration. Learn more about staff benefits on our website . HOW TO APPLY
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diagnostic assessments for college physics and calculus courses and studying student learning using advanced statistical and qualitative research methods. The successful candidate will join a collaborative
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Lab within the Nuffield Department of Population Health. Reporting to the BDI Director, the post holder will work within a highly collaborative and interdisciplinary research environment, leveraging
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for a post-doctoral position in nuclear reaction evaluations and research. In this role, you will collaborate in developing a reaction data evaluation workflow for the Evaluated Nuclear Data File (ENDF
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for African Studies: health. The candidate will collaborate with the Medical School. He /She has to be able to teach in English medical ethics. Responsabilités et taches prévues / Responsibilities and tasks
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collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be expected to lead the research into innovative ways in which the machine