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Process at the Jagiellonian University. Form of submission by e-mail to the address: job.mcb@uj.edu.pl title: 42.2026_post-doc - Name and Last Name Please submit your documents in English. Deadline
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on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE) Program (https://healthinformatics.umn.edu
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
interdisciplinary center for research and education in quantitative genetics and quantitative genomics (http://www.qgg.au.dk/en). QGG is an international organization with 70 employees and visiting researchers from
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of great importance to science and education and is interdisciplinary in its nature. INTED has established a research activity applying AI methods to understand interdisciplinary learning processes
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 29-Mar-26 Location: Stanford, California Type: Full-time Categories: Staff/Administrative Internal Number: 108598
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/ . Foreign applicants may find this link useful: https://www.ism.ku.dk/ (International Staff Mobility). Application The application must be submitted in English and must include the following documents
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of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF
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(national or international), their competitive nature and the type of involvement of the researcher (coordinator or participant). iii) The recognition from the scientific community: This parameter takes
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human behavior in the usage of information technology. For this purpose, the group applies methods from reinforcement learning, explainable AI, natural language processing, and lab experiments