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model we deploy and support the ecosystem with training, advisory, and AI infrastructure. CeADAR is seeking a data scientist with solid experience in machine and deep learning research and development
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
/m/x) in Deep Learning and Digital Pathology 102827 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking solutions for a healthier
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, undergraduate and executive levels, all of them enriched by the dynamism and deep resources of one of the world's business capitals. NYU Stern is a welcoming community that inspires its members to embrace and
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students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and
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demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and persistence; (3) technology competencies as well as teaching
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materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about
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). Experience with training operations for large-scale computing systems and ticketing/trouble management systems. Required Skills, Knowledge and Abilities: â— Architectural Knowledge: Deep understanding
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transformation. Why Join Us? 🚀 Make an Impact: Play a key role in shaping financial strategies that influence the University’s growth and global standing. 📈Growth & Development: We believe in continuous learning
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: Experience in applying machine learning, deep learning to immunology Experience with high resolution -omics approaches including bioinformatics pipelines Expertise in work related to viral and/or bacterial
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or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous