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University Hospital Essen, Collaborative Research Centre 1752 | Essen, Nordrhein Westfalen | Germany | 3 months ago
single-cell multi-omics Artificial intelligence & bioinformatics Translational oncology Open positions available from October 2026 | Remuneration according to TV-L E13 17 PhD positions 2 Postdoctoral
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systems, machine learning, and foundation models The opportunity to shape an emerging research direction at the interface of artificial intelligence, energy-system modelling and optimization The possibility
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(UWB) RF sensing, localisation, and vital sign recognition. The successful candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and
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candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UWB RF signal data analysis, and wireless sensing
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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harassment/misconduct disclosures, and employment eligibility review through E-Verify. The university provides accommodations to applicants and employees. Request an Accommodation Artificial Intelligence (AI
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for your students, your research, and society at large. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics ) at the Department of Computer Science, Electrical and Space
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startup company in the Netherlands. Job requirements We are looking for an outstanding candidate with a PhD degree in Nuclear materials Chemistry, Materials Science, Applied Science or a related field
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Qualifications The prospective postdocs should have a PhD degree in a related field, and have research experience in artificial intelligence, machine learning, bioinformatics, and computational biology. A strong
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated