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). Duties and Responsibilities Develop deep learning methods for complex geospatial and environmental problems. Develop geospatial foundation models using large-scale and heterogeneous geospatial data
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support scientific discovery and real-world applications. We now invite applications for the captioned post(s). Duties and Responsibilities Develop deep learning methods for complex geospatial and
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required. •Experience with deep-learning techniques and libraries welcome. •Past experience in neutrino oscillation and/or LAr TPC experiment welcome. Website for additional job details https
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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intelligence, starting 1 April 2027. You will design new sequence-to-expression deep learning models that predict gene expression from DNA sequence in plants, using new experimental datasets generated in
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, candidates must be willing to work with mice and to learn the animal-handling and experimental procedures necessary for their projects. Training and Career Development Postdoctoral fellows will receive close
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questions, advancing deep learning models, or other topics discussed with the PI. We use publicly available and simulated genomic data. Core job duties include: (1) Building computational pipelines
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to apply: https://www.jobbnorge.no/en/available-jobs/job/308911/postdoctoral-fellow Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/308911/postdoctoral-fellow Requirements Research
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cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to effectively
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have a passion for the deep-sea and like join expeditions to the Arctic Ocean to explore how deep-sea life is connected to our climate? Do you enjoy working in an interdisciplinary research setting