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Field
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interaction and/or web programming, and human-computer interaction is required. Experience and/or knowledge of semantic web technologies, such as ontologies and semantic web standards, as well as graph data and
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well as computational analysis to uncover biophysical principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine
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framework of responsible human-AI collaboration to better understand the role of human oversight in bias mitigation. Understanding human needs for bias mitigation – Understanding how individuals interact with
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description: Understanding how microbes interact with the human host is central to tackling chronic inflammatory, autoimmune, and infectious diseases. This exciting PhD project will harness cutting-edge
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academic writing Familiarity with large language models or multimodal systems An interest in visual reasoning, educational technology, or human–AI interaction Experience with neural networks for image
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 4 days ago
Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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parts of our genomes that are uniquely human? Laurits Skov’s research group seeks to answer these questions through an interdisciplinary approach using computational method development, population
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1 Sep 2025 Job Information Organisation/Company IRTA Department Human Resources Research Field Environmental science » Ecology Engineering » Agricultural engineering Biological sciences » Biology
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computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our
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research centers. CADIA provides a collaborative environment where researchers tackle challenging problems in AI, machine learning, and human-computer interaction. The center offers regular seminars