93 formal-method-phd Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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; bilingualism is an asset. Education PhD in Anthropology PhD in Sociology PhD in Social Psychology PhD in Philosophy PhD in Transition Studies, Cultural Studies, Environmental Humanities, Social Innovation
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transitions, educational transitions, gender issues, resistance to transitions. Language skills: at least English-speaking; bilingualism is an asset. Education PhD in Anthropology PhD in Sociology PhD in Social
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Knowledge of biogeochemical cycles Experience with process-oriented modeling Selection Criteria PhD degree or Master degree in a field such environmental sciences, agronomy, applied mathematics
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and
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based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct
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candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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activities, with specific responsibilities as outlined below: Conduct research on the development and application of spectroscopy methods such as VNIR, SWIR and XRF as alternatives to traditional methods
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(Postdoctoral Position) Availability: Immediate Required Level: PhD in Cell Biology, Biotechnology, Biochemistry, or a related field Main Responsibilities: We are seeking a motivated postdoctoral researcher to
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, operating systems and security. Job Description The successful candidate will investigate robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement