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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
, or dynamorelated problems. Experience with high-performance computing is desirable. Good English skills. Additional information The position is rated in acccordance to public service act (TVöDBund) as EG 13. Social
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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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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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of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise
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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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. 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
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profile An excellent university degree (Master's, Diploma, or equivalent) in Computer Science or a related technical field (e.g., Interactive Media Systems, Virtual Reality Development, Software Engineering
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available in the further tabs (e.g. “Application requirements”). Programme Description The SBW Berlin scholarship programme supports social commitment through the development of social projects during
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in computer science, data science, and research IT. The overarching goal is to jointly develop sustainable, FAIR-compliant data structures that will support scientific discovery within the cluster in