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Methodological competence: Strong programming skills, ideally including experience in deep learning and/or high-performance computing Passion for method development Very good English communication skills – both
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Good knowledge of AI and applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience
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Hint Due to serious budgetary cuts there will be no further calls for the German Chancellor Fellowship Programme. • The fellowships granted to the current cohort of Federal Chancellor Fellows 2023
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care, in an exciting, interdisciplinary field. Access to large-scale, high-quality pathology datasets and cutting-edge computing infrastructure. Collaboration with renowned scientists, pathologists, and
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ecosystem models. Experience using high-performance computing systems. Proficiency in running numerical ocean models. Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting
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between different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science as well as physics, optics and manufacturing
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differentiation protocols for iPSC perform CRISPR-based genome editing and molecular biology experiments develop and optimize high-throughput sequencing techniques work with a substantial amount of multi-Omics data
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publications in international journals. As a successful candidate, we will expect you to shape, perform and present your research independently and work individually as well as in teams. OUR OFFER Exciting
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journals. As a successful candidate, we will expect you to shape, perform and present your research independently and work individually as well as in teams. OUR OFFER Exciting research project at a
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and resource efficiency during production and operation. The focus of our »TCAD« team is on working with Technology Computer-Aided Design (TCAD), which is used to investigate the electrical properties