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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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Master’s degree in Physics, Chemistry or Computer Science, or equivalent Interest in Physics, Chemistry and Machine Learning Good written and spoken English Ability to work both independently and in a team
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Description If you love vision research and cutting-edge imaging technologies, consider joining the AO Vision Laboratory at the University of Bonn as PhD student. We are seeking enthusiastic and
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Objective Graduates receive a...
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looking for PhD Students in areas related to: Cybersecurity, Privacy and Cryptography Machine Learning and Data Science Efficient Algorithms and Foundations of Theoretical Computer Science Software
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looking for PhD Students in areas related to: Cybersecurity, Privacy and Cryptography Machine Learning and Data Science Efficient Algorithms and Foundations of Theoretical Computer Science Software
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? Master's programme at a German university. Duration of the funding The scholarships for Master's studies have a maximum duration of twenty-four (24) months. Value According to the cooperation agreement
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degree at a German university Duration of the funding Approx. 2 years depending on the duration of the Master's programme Value Co-funded by COLFUTURO and DAAD Intensive German course in Germany (up to 6
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paid back in full or in part. This is based upon the guidelines of the Colfuturo sponsorship programme "Créditos-Beca para estudios de Posgrado en el Exterior". Selection Candidates are selected by a