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and multicultural research environment with high professionalism and close collaboration and networking activities A workplace characterized by equality and a good work-life balance, and an open
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network
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different fields of research - a work environment with close working relationships, networking and social activities - a workplace characterised by professionalism, equality and a healthy work-life balance
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critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
international research networks time spent abroad working at one or more internationally recognised research institutions. Finally, applicants are asked to provide a proposal for research to be undertaken within
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discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality and a
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with close daily interactions, opportunities for networking across groups. Employment at a Danish university with a work culture characterized by professionalism, equality, and a sustainable work–life
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, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance Place of work and area of employment The place of employment is Aarhus University
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international standard commensurate with the length of the applicant’s academic career experience of participating in national and international research networks time spent working at internationally recognised