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: immunology, single-cell omics, computational biology The qualification requirements of the positions are stated in the University of Turku Rules of Procedure. Benefits We offer you responsible and interesting
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candidate to have previous experience and knowledge in research methods related to processing of large data sets. Experience in e-learning environments and/or research/development experience in data analytics
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of Finland. HI stands on the fundamental research on emotion AI, learning processes and perception engineering for AI-based solutions e.g. in education and nursing. HI research combines the strengths of both
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stands on the fundamental research on emotion AI, learning processes and perception engineering for AI-based solutions e.g. in education and nursing. HI research combines the strengths of both humans and
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EVALUATION Basic eligibility criteria: Doctoral degree in Computer Science, Computer Engineering or a closely related field. As a rule, the time elapsed since completing the doctoral degree should not exceed
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innovative optimization methods that consider multisectoral, system-level utilization of marine waterways, ensuring that human perspectives are incorporated throughout the process. By integrating stakeholder
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questions about the application process, please contact: HR-specialist Kaisa Ketomäki, kaiketom(at)utu.fi Department of Biology In the Department of Biology , we explore life and biological evolution in a
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on the application procedure, please contact Human Resources Coordinator Airi Leppänen, airi.leppanen@uef.fi . Where to apply Website https://uef.varbi.com/en/what:job/jobID:800382/type:job/where:39/apply:1
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somatic mutations. These efforts aim to enable pan-cancer subtyping and uncover regulatory processes contributing to cancer and cancer outcome. Qualifications The position is open to applicants with a PhD