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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
supervision of Dr. Hanan Salam on the: Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data
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10 Apr 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher
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. Collaborating with faculty and staff on research design, data collection, analysis, and interpretation. Writing reports and academic papers for publication in relevant journals. Participating in grant writing and
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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data analysis software Physical Demands and Work Environment Be able to handle mice and to conduct laboratory experiments Overview Statement Will need to think independently as well as work within the
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3 Apr 2026 Job Information Organisation/Company CNRS Department Environnement Dynamique et Territoires de la Montagne Research Field Mathematics History » History of science Researcher Profile
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well as data processing. Advanced knowledge in statistics and data analysis. Experience supervising postgraduate students. Strong knowledge of experimental protocol design in research projects. Experience in one
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-lab role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
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strategies to improve their engagement in PrEP, PEP, and/or HIV treatment. The Postdoctoral Associate will be asked to assist with data cleaning, creation of a study codebook, data analysis, and manuscript
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projects that will potentially open job opportunities in both academia and industry Carry out microbial bioinformatic data analysis of samples from mice and patient cohorts Further enhance key methodologies