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theoretical tools for their description (C). Tasks for project RTG2861-A4 (Principal Investigator: Prof. Dr. Stefan Kaskel, Chair of Inorganic Chemistry I, Research area A): Research topic: Microstructured PCL
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theoretical tools for their description (C). Tasks for project RTG2861-A4 (Principal Investigator: Prof. Dr. Stefan Kaskel, Chair of Inorganic Chemistry I, Research area A): Research topicMicrostructured PCL
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(Principal Investigator: Dr. Dorothea Golze, Chair of Theoretical Chemistry, Research area C): Research topic: Extension of the GW+C approach to materials In this position, you will develop highly accurate
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The Institute for Cardiovascular Physiology of Goethe-University has a strong focus on epigenetic processes in the cardiovascular system with emphasis on translation and novel mechanisms. The well-funded research institute at the Cardiovascular Center is a member of the DFG Excellence Cluster...
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abilities for problem-solving and independent work your previous professional history fits to the research tasks of 2D-MATURE your (expected) Master's degree has very good marks in a relevant subject area We
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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RTG2861-C2 (Principal Investigator: Dr. Dorothea Golze, Chair of Theoretical Chemistry, Research area C): Research topic: Extension of the GW+C approach to materials In this position, you will develop
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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Master's theses participation in national and international research projects The position comes with access to high performance computing resources and access to training opportunities within ScaDS.AI