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Field
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administrations of Helmholtz Munich and TUM, external partners, and funding institutions worldwide. Plan, organize, and participate in scientific meetings and workshops in Munich and abroad. Review and edit
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applications, although this is not the primary goal of the position. What you will bring (position requirements): A PhD in machine learning or data science and a background in computer science, physics
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examination regulations. What you bring to the table Enrolled student specialising in chemistry, materials science, production engineering or a comparable degree programme Extensive practical experience with
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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology from a single source for
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Willingness for interdisciplinary cooperation with experts from the field of computer science- Reliability and punctuality Good command of written and spoken English (other language skills are an advantage
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Background/Motivation: Authorship verification (AV) is used in areas such as forensics, plagiarism detection, and fake news detection to identify the true author of a text. The goal of authorship verification (AV) is to classify whether two or more texts were written by the same author (Y) or...
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colleagues. Constraints that come with your studies will be respected. What you bring to the table We are looking for a student of computer science or a related field with a focus on speech technologies
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, voltage converter modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in
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. As a model intercomparison project, TIPMIP brings together international modeling groups to jointly develop and run computer simulations. In this way, TIPMIP creates a unique data basis for