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. We require the candidate to have documented experience in either large-scale genomics data analysis with computational or approaches/biostatistics, or machine learning/deep learning. Experience with
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will be working closely with machine learning researchers and on scientific projects using AI, so a background in machine learning is highly desirable. In general, candidates should have a doctoral
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will be working closely with machine learning researchers and on scientific projects using AI, so a background in machine learning is highly desirable. In general, candidates should have a doctoral
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of large-scale genomic data sets is a requirement for this position. Experience with data integration, machine learning, network science, cancer biology, and/or gene regulation is considered an advantage
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The Faculty of Science invites applications for a POSTDOCTORAL RESEARCHER IN MACHINE LEARNING FOR NATURE CONSERVATION starting from August 2025 or as agreed. The Postdoctoral Researcher will be
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strong publication record and a solid background in computational RNA biology, particularly in alternative splicing regulation, are our top priorities. Expertise in machine learning and human omics data
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doctoral researcher is expected to: Advance the BIOBANG project’s objectives as part of a dynamic interdisciplinary team. Conduct doctoral studies and research leading to a completed PhD thesis within 4
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8 Mar 2025 Job Information Organisation/Company LUT University Research Field Computer science » Other Engineering » Computer engineering Engineering » Other Researcher Profile Established
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, are our top priorities. Expertise in machine learning and human omics data analysis is highly advantageous. The ideal candidate should demonstrate a high level of independence while also valuing
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and control and software development. All topics have a heavy focus on AI-based methods (e.g., machine or deep learning) and their real-time execution on real robot systems. Research takes inspiration