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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
languages) # Knowledge of modern deep learning frameworks (e.g. pyTorch, Tensor-flow, Jax, ...) # Experience working in Linux shell/cluster environment and on shared resources # Experience of collaborative
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Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate
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in medical image analysis. The ideal profile should demonstrate experience in developing deep learning algorithms applied to radiological imaging, particularly in breast and thoracic domains. Knowledge
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at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t15.pdf . A reasonable estimate for this
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higher degree students. What we’re looking for: A postgraduate qualification (Masters, PhD or equivalent) in a relevant field. Experience in University-level teaching and learning. Clinical/industry
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machine learning, deep learning, or computer vision Experience with Python and common AI frameworks (PyTorch, TensorFlow) Interest in hallucination detection, robustness, trustworthiness, and (optionally
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that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a
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bachelor's degree in biology, neuroscience, psychology, engineering, or equivalent who is planning to attend an MD-PhD or PhD program in neuroscience, bioengineering, or related field. At least 50% of the
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effectively in both oral and written forms, including presenting research findings to diverse audiences and contributing to collaborative discussions expertise in deep learning techniques with experience
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continuity. *Other duties may also be assigned. DESIRED QUALIFICATIONS: Master's or PhD degree in a relevant discipline. Professional certification in data management, analytics, or project/program management