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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
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ability to prioritize and manage multiple goals Positive attitude in changing fast-paced environments Active participation in improvement of self, processes and goals About UM6P: Mohammed VI Polytechnic
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algorithms for solving the targeted problem or hypothesis Conduct literature review for future projects. Assist with future funded projects as needed. Participate in manuscript development and publication
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candidates will focus on developing integrated hydrodynamic and larval transport models to enhance our understanding of circulation dynamics, water quality, and the potential dispersal routes of bivalve larvae
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on historical firearms use and regulations across multiple regions, contribute to a field guide and database of empirical findings, and participate in the writing and sharing of research papers in regular
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control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance the safety and robustness of human-robot interaction. The successful applicant will engage
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a