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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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control, human-robot collaboration, and smart grids. For this reason, their design and deployment should be accompanied by a formal check of correct behaviour. The Research Training Group on Continuous
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on solid state devices cooperate and actively work as a theorist with experimental partners improving quantum hardware design and implement optimization techniques for full-stack implementation of quantum
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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Resources Use of rooms Corporate Design Teaching Staff Back Veranstaltungen Förderformate Generative KI in Lehre und Forschung Digital teaching Digital examinations Center for Teaching and Learning Planning
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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research
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work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop
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strategies - Model Proficiency and Application #learn the biophysical crop simulation model EPIC or an equivalent alternative #apply the model to simulate existing land management systems and land use change
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV