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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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, 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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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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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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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
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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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support your work through: A large, green research campus with excellent opportunities for networking with colleagues and for sports and recreation alongside work Interdisciplinary data science and applied
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for the operation of the instruments ANTARES and NECTAR as user instruments including all aspects such as planning, maintenance, further development, software development, sample environment, data analysis, etc
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simulations. In detail, your tasks will include: Simulation of materials with a Prussian blue structure using density functional theory Comparison of the simulation with experimental data (e.g. X-ray
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. The research area includes interactions between large oceanic currents, eddies, fronts, and the coast, as well as analyzing their effects on the distribution of heat, nutrients, marine life and the sea floor