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Field
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Completed PhD in organizational behavior, human-computer interaction, psychology, computer science or related disciplines with experiences related to human-AI interaction. KEY RESPONSIBILITIES
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humanities, knowledge graphs, ontologies, graph databases, network analysis, natural language processing, computer vision. They should also have a PhD in one of the following areas: Digital Humanities
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interactions and the crosstalk between metabolism and immunity in inflammation and cancer. In recent work, we have identified pathways of host-microbial interactions which contribute to CRC development and
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Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Admission Requirements You have a PhD in Interaction Design or Human-Computer Interaction, or a related
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 3 days ago
Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Postdoc OPUS29AC 12/2025 Is the Job related to staff position within a
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one of the following topics: extended reality (virtual reality, augmented reality) human-computer interaction computer vision The capability to successfully conduct research projects in
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University of Würzburg and Helmholtz Institute for RNA-based Infection Research, GERMANY 1 PhD student & 1 Postdoc Position Specialized metabolite functions during gut microbial interactions in
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the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier. We are looking for candidates with: • PhD in bioinformatics, computational biology
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. Support engagement activities, onboarding contributors, coordinating exercises, and ensuring compliance with defence protocols. About you You will hold a PhD in Human-Machine Interaction, Computer
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determines safety factors in assessing risks to human health. This goal will be accomplished by identifying molecular key event (KE) biomarkers, predictive of chemically induced adverse health effects in