198 phd-mathematical-modelling-population-modelling Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
Sort by
Refine Your Search
-
: 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
-
Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics, Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University
-
computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
-
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
-
an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About Entity (Hiring entity): The African Sustainable Agriculture
-
and contribute to the overall research mission of the group. Position Requirements PhD (completed or near completion) in Electrical Engineering, Computer Science, Physics,Applied Mathematics, or a
-
Requirements PhD (completed or near completion) in Electrical Engineering, Computer Science, Physics,Applied Mathematics, or a related field. Strong background in one or more of the following: quantum
-
) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing decision-support tools for sustainable and inclusive urban environments. Key
-
Postdoctoral researcher in Controlled-Release Fertilizers, Agronomy, Agricultural Sciences, and process development Job Qualifications: PhD in applied Chemistry, Materials Science, Chemical
-
, Data Science, Climate Science, Geoinformatics, Applied and Computational Mathematics, or related fields. Proven experience in developing deep learning models (e.g., CNNs, RNNs, LSTMs) for large-scale