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within the cell to efficiently unfold their therapeutic effect. The so-called endosomal escape mechanism is one of the crucial requirements for that purpose. During the course of a master thesis, an assay
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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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Science or a related subject and ideally already have experience with finite element simulations. As part of your master thesis, you would like to deepen your knowledge in the field of material modeling and
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Exploring in-context learning techniques and novel neural networks architecture to improve adaptability from subject-to-subject and day-to-day Your Profile: Current master studies in biomedical engineering
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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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developments. In the scope of the DryHy project ( https://www.dryhy.de/de ) such an innovative process chain is researched. You will contribute to the research project with your master`s thesis by evaluating
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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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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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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