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ecology. This postdoctoral project investigates how ecological novelty influences ecosystem functioning and the ecological and environmental processes driving the emergence of novel interactions
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collaborate with partners at ELLIS Institute Finland. Target publications at top-level AI, ML, and NLP venues. Who we are looking for Requirements Ph.D. in Machine Learning, Natural Language Processing
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AI, Natural Language Processing, or clinical data analysis. Excellent analytical and problem-solving skills. Interest in collaborative research with both academia and industry. Good communication
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, omics and genetics. Collaborate closely with other team members, and national/ international collaborators. Assist other team members in experiment planning, data processing and interpretation of results
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collaborators. Assist other team members in experiment planning, data processing and interpretation of results. Contribute to writing scientific articles, conference presentations, grant applications and
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for prospective applicants are defined in the University of Turku Rules of Procedure: university-of-turku-rules-of-procedure.pdf . A person selected for the post of Doctoral Researcher is required to have a right
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). The position will focus on computational analysis and modeling of links between human microbiome and cancer. The selected candidate will develop and apply data science methods, contribute to data processing
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applicants fitting best in the profile expected for the position may be invited to an on-site or remote interview. All applicants will be notified when the selection process is completed. Contact Information
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inquiries regarding the position, please contact Professor Marko Salmi (marko.salmi(at)utu.fi). For questions regarding the recruitment process, please contact: Anne Jackson, HR Specialist (anne.jackson
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the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period. Want to know more about us and your future colleagues? You can