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learning models Implementation of deep learning Improvement of models, e.g. in terms of efficiency, training performance or inference behavior What you bring to the table Enrolled Bachelor's/Master's student
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Sustainable Development Goals of the United Nations. As an institute of the Fraunhofer-Gesellschaft, we show how to not only master challenges, but grow with them. We push boundaries, think ahead and shape
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projects, both public- and industry-funded. What you contribute You have a university degree (Master of Science or higher) in physics, material science, engineering or related fields. Previous experience in
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of reliability, efficiency, and resilience. Would you like to be part of this inspiring team? We look forward to receiving your application! Master Thesis Machine Learning for retired Lithium-Ion Cell Sorting (all
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the choice of loss and architecture is decision-relevant and when it remains secondary. Objective: The aim of this master's thesis is a systematic comparison of key modelling approaches and loss functions
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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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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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to increase the efficiency of these quantum algorithms Your tasks will include the analysis of the scaling and convergence properties of the quantum algorithms What you bring to the table Enrolled Master
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, and real-time sensors suitable for point-of-care diagnostics and opening doors for wearable health technologies. This project work or master's thesis focuses on the analytical and structural
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At the Fraunhofer Institute for Wind Energy Systems IWES, the energy transition becomes a reality every day. Our focus topics are: offshore wind energy, hydrogen, test infrastructure and digitization. More than 400 employees – including around 100 students – from over 50 countries work at nine...