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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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Artificial Intelligence« working group offers you exactly that. What you will do Design, implement, and optimize database schemas for high-performance systems with large data inflows, ensuring scalability and
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atomic force microscopy Reactive Ion Etching evaluation of test structures using amorphous carbon hard masks SEM analysis of structures; feedback loops for refining deposition and etching parameters Data
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preparation and implementation of the assigned tasks A large research campus in the countryside, which offers the best opportunities for networking with colleagues and for sporting activities alongside work
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A large research campus in the countryside, which offers the best opportunities for networking with colleagues and for sporting activities alongside work Flexible working hours and appropriate
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subject areas working together The chance to independently prepare and work on your tasks A large research campus with green spaces, offering the best possible means for networking with colleagues and
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a solution-oriented manner, while always maintaining an overview of the big picture as well as methodological details You have strong social and communication skills for leading and collaborating with
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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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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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related scientific discipline and brings a strong background in bioinformatics, chemoinformatics, machine learning, AI, and data analysis of large biological datasets. Proficiency in programming and