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Assistant Professor in Digitalization, Virtual Reality (VR), Augmented Reality (AR), and Artificial Intelligence (AI) applied to architecture and the built environment Location: UM6P, BENGUERIR
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, epigenomics, post-transcriptional mechanisms or genome architecture, and their implication in normal and pathological development of the human nervous system. Candidates are expected to have an outstanding
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involves a blend of teaching, research, community engagement, and administrative responsibilities aimed at fostering innovation and excellence in the field of architecture and construction. The incumbent is
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, continentally, and 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
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sustainability in built environment. Qualifications: Ph.D. in a relevant field such as Building Science, Mechanical Engineering or Architecture with a focus on sustainability in the built environment is required
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, including proficiency in Tensorflow and PyTorch libraries, with familiarity with GPU-based computational architectures. • Demonstrated ability to collaborate effectively on interdisciplinary projects
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explore the intersection of nuclear architecture, lipid metabolism and gene regulation. OUR RESEARCH The nucleus is the signature element of eukaryotes and the nuclear envelope is the protective shell for
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: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in
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vacancy for a Postdoctoral position at the Department of Architecture and Technology (IAT), Norwegian University of Science and Technology (NTNU). The Postdoctoral position is linked to MIT Building
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Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
networks and deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders. Experience with data pre-processing, feature extraction, and data