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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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full-time Doctoral Researcher in Machine Learning of Biosensing position for three years in a multidisciplinary project “Next Generation Molecular Sensing ” combining the expertise of five teams
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. Job description The purpose of the job is to create new knowledge for academia and industry in the fields of computational imaging, optics and machine learning. The research project aims at jointly
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Validation of Integrated Approaches (FHAIVE ). The researcher will focus on applying machine learning (ML) techniques to knowledge graphs (KGs) for advancing projects in chemical safety, toxicology, and drug
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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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talented and highly motivated Doctoral Researcher in Quantum Computing In this position you will carry out research in quantum machine learning and quantum information science. Your research will focus
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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 machines, emphasizing mutual