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. Therefore, within the scope of this master's thesis, different deep-learning approaches will be implemented and evaluated. What you will do Selection of suitable deep-learning approaches in the field
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Who we are ... Our primary focuses at Fraunhofer IWES are on wind energy and hydrogen technologies. Our institute is home to more than 300 scientists and employees as well as over 100 students from
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to inform subsequent design recommendations, potentially leading to iterative software enhancements. The topic is suitable for bachelor or master thesis. What you bring to the table enrolled student in
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available1Company/InstituteBMW GroupCountryGermanyGeofield Where to apply Website https://illbeback.ai/job/master-thesis-neuro-symbolic-ai-application-for-handli… STATUS: EXPIRED
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Your Job: Hydrogen is seen worldwide as a crucial building block for the transformation towards a sustainable and greenhouse gas-neutral energy system. Electrolysis is the best known and most relevant option for sustainable and efficient production of hydrogen. In addition to alkaline...
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Music Technologies at the Fraunhofer IDMT, one of the main research focuses is on extracting meaningful information, identifying patterns, and making sense of complex acoustic recording. For this purpose
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As one of 76 institutes and research facilities of the Fraunhofer-Gesellschaft, the leading organization for applied research in Europe, we show how to not only master crises, but grow from them
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04/06/2024 Chief Operating Officer (COO) (m/f/d) The MPI-CBG invites applications for the position of Chief Operating Officer (COO). Deadline: 05 July 2024 The COO plays a pivotal role in shaping
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 3 hours ago
Job Code: 2024-COO-5180 Job Offer from June 04, 2024 The Chief Operating Officer (COO) plays a pivotal role in shaping and executing the strategic vision set by the Board of Directors while
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Music Technologies at the Fraunhofer IDMT, one of the main research focuses is on extracting meaningful information, identifying patterns, and making sense of complex acoustic recording. For this purpose