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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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science, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning
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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
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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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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 days ago
degree / PhD programme No Joint degree / double degree programme No Description/content The IMPRS CoNI provides world-class training for doctoral students and aims to nurture the next generation of
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Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
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Immunmechanismen – RIMUR International Max Planck Research School for Sustainable Metallurgy – IMPRS SusMet Metakognitives Monitoring in authentischen Lehr-Lernkontexten im Schülerlabor – MeMo-akS PhD Programme in
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. Additional requirements: PhD with a strong background in Molecular and Cell Biology. Hands-on in vitro and ex vivo experience in human disease modeling using primary cells, tissue slices or iPSCs. FACS
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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, as well as grant proposals, and present your own work at international conferences Your Profile: Master / Diploma and excellent PhD in computer science, engineering, physics, biophysics, applied