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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 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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), with particular emphasis on fairness and privacy. Duties and responsibilities may change over time. The successful candidate will be part of the Deep Data Mining group and Responsible Artificial
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informatics, or a related field - Strong programming skills in Python and experience with deep learning frameworks (PyTorch preferred) - Experience or strong interest in large language models, multimodal
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) Deep Learning AI. https://www.deeplearning.ai/ (opens in new window) CourseRA Gen AI https://www.coursera.org/ (opens in new window) McKinney, S.M. et al., “International evaluation of an AI system
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who desires to become part of a creative, vibrant, student-centered learning community. The successful candidate will demonstrate a commitment to interdisciplinary and cross-cultural perspectives
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both classroom and lab environments.Align instruction with industry standards, safety practices, and workforce expectations.Assess student learning and provide timely feedback.Program Launch Lab
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(pore sizes below 100 nm) structures. Excellent scintillation properties, particularly a high radioluminescence light yield. Maximal transparency to ensure that luminescence flashes can be detected deep
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, and executive education programs. The College is a center of excellence for research on issues that span people, policy, and technology, and has deep strengths in combining data science with social
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such as healthy living, transport, green energy, and advanced manufacturing. The role requires strong hands-on technical skills in modern AI, including deep learning, foundation models, LLMs, agents, and
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with a proven track record of working within the oncology research field, possessing a deep understanding of the Medicines for Human Use (Clinical Trials) Regulations as they apply to complex cancer