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years prior to the application deadline. Experience with machine learning for scientific applications. Experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with atomistic
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-to-function deep learning models (e.g. Borzoi-, Enformer-, or AlphaGenome-style) to predict single-cell chromatin accessibility, histone modifications, higher-order chromatin organization, and gene expression
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leverage reinforcement learning, deep learning, and generative AI, and evaluate against the research front in mathematical optimization strategies, to enable efficient, robust, and adaptive evacuation
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orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful
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communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal
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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 meaningful
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, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large
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. Appointment Start Date: October 1, 2026 Group or Departmental Website: https://esos.stanford.edu/(link is external) https://sustainability.stanford.edu/about-school/centers-programs-initiatives/su...(link is
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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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Infrastructure? No Offer Description Post-doc Position (M/F) at Poznan University of Technology, Poland Project financed by National Science Centre, Poland: call SONATA 21 Project name: Deep insight into biofilm