179 modelling-and-simulation-of-combustion-postdoc Postdoctoral research jobs in Morocco
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Job Summary MAScIR-UM6P is seeking a highly motivated and skilled postdoctoral researcher to join our interdisciplinary team studying the biology of microalgae and soil cyanobacteria. This position will focus on understanding the ecological roles and potential applications of these...
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Job Summary MAScIR-UM6P is seeking an enthusiastic and highly skilled Postdoctoral Researcher to join our research team. The successful candidate will be involved in cutting-edge research focusing on soil biology, microbial ecology, and molecular biology techniques. This position offers an...
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review publications. Develop and implement simulation models to predict yields from secondary data sources and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales
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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data
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-IoT system/network considering communication and data fusion requirements. Conduct a theoretical analysis of the developed designs. Develop simulations (writing code) to support the theoretical findings
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biologists, bioprocess specialists, animal scientist, etc to respond to regional challenges affecting marginal environments. Job Summary The postdoc will conduct research, prepare proposals, write reports and
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, adopting joint degrees and certified joint laboratories. CBS has already established a master’s Research program in Chemical Sciences of Phosphates. Position Title: Postdoc on the OX-ZEO Process for
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: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration
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visiting scholars worldwide, the Centre is committed to training a new generation of African Atmospheric Scientists and faculty members. Research endeavors primarily focus on experimental and Modelling
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learning, imitation learning, and the integration of large language, vision–language, and vision–language–action models to improve generalization. A key objective is to design lightweight and efficient