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of study. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if you have gained a first university degree in the field of the Performing Arts at the latest
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course of study in the fields of Fine Art, Design, Visual Communication and Film. The scholarships also promote the exchange of experience and networking amongst colleagues. Who can apply? You can apply if
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mentorship in the career development of the student. The program language is English. We offer: a highly international research environment and state-of-the-art technology four years of full funding through
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about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer
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interdisciplinary research centers, offering access to world-class computational resources (HPC), state-of-the-art research software, and close integration with experimental and modeling groups across institutes and
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interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state-of-the-art machine learning and
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. Present your work at international conferences and learn about state-of-the-art methods in machine learning, explainable AI, counterfactuals and generative AI for material sciences. Take part and engage in
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: The position is embedded at Forschungszentrum Jülich (FZJ), one of Europe’s largest interdisciplinary research centers, offering access to world-class computational resources (HPC), state-of-the-art research
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering
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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus