115 phd-in-architecture-landscape-built-environment Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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publish in leading international journals. Desired skills and experiences: PhD in crop physiology, microbiology, plant molecular physiology, or related fields. Strong knowledge about plant-soil-microbes
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platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With
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for the position : The candidate must have: PHD with skills in one of the following fields: history, philosophy, anthropology, sociology, psychology Rigor / motivation, Good communication skills, Teamwork
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candidates with a PhD or equivalent in a relevant discipline from a recognized university. Applicants must demonstrate that their doctoral work and previous experience are related to one or more aspects of
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. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding applications. Collaborate with project partners and compile, analyze, and document research findings
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architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development. Application materials: CV, cover letter, and one recommendation letter.
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for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration
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an ability to interpret and analyze simulation and/or experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical
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The position is intended for a PhD holder in environmental engineering, geochemistry, chemical engineering, or a related field, with a strong interest in gas-liquid-solid reaction systems. The ideal candidate
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development