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artificial intelligence, machine learning, big data, multimedia content analytics, information integration and enterprise modeling and analysis. The Enterprise Information Systems (EIS) department works on new
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05.05.2025, Wissenschaftliches Personal At the chair of Data Analytics and Machine Learning at the Technical University of Munich (TUM), a full position will be available from May 2025 in
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phenotyping and computational approaches. Previous experience with metabolic research, large data sets and molecular biology is required. A strong motivation for teaching and student supervision is a plus. Our
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discipline and brings a strong background in bioinformatics, chemoinformatics, machine learning, AI and data analysis of large biological datasets. Proficiency in programming and experience in mentoring and/or
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, machine learning, big data, multimedia content analytics, information integration and enterprise modeling and analysis are the focal points of our work. Fraunhofer IAIS is at the center of a strong research
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Biology or a closely related scientific discipline and brings a strong background in bioinformatics, chemoinformatics, machine learning, AI and data analysis of large biological datasets. Proficiency in
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foundations of ML · Explainability, trustworthiness, and robustness of ML · Deep learning architectures and Generative AI · Big data and cloud-based systems · Human-centered data analytics and data
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genomic, proteomic and metabolomic datasets • Collaborate with other researchers and industry partners to manage and interpret big data • Write research papers based on bioinformatics analyses and
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statistical/mathematical methods to analyse large data sets Comprehensive experience with HPC system usage, parallel/distributed computing, as well as diverse architectures and understanding of its impact on
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Your Job: The Innovationpool Project “Data for Technology Assessment” (DaTA) aims to create a comprehensive, publicly accessible repository for technology data to support research in energy systems