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globally. UM6P is located in the municipality of Benguerir, in the very heart of the Green City and only 70 km away from Marrakech. Thanks to its prestigious architectural landscape and modern equipment
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mathematicians, and domain scientists Develop software that integrates machine learning and numerical techniques targeting heterogeneous architectures (GPUs and accelerators), including DOE leadership-class
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. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM
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software. Knowledge of explainable AI methodologies. Experience integrating heterogeneous instrumentation under unified control architectures. Track record of publications in high-impact journals in
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requirements should be implemented; design and propose architecture and operations concepts and propose recommendations on the most promising technologies that should be leveraged; prototype software
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). The team focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as
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based architecture with 2D-connectivity Migration to industrially fabricated devices Your Profile: Master and PhD in physics or a related field In-depth experience with quantum control experiments
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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deep learning including data collection, architecture development, model training, and validation Interest in software development, with particular emphasis on the Python programming language and
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures