46 bayesian-object-detection Postdoctoral research jobs at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
Sort by
Refine Your Search
-
systems including fault detection, diagnosis, and performance improvement methods. Mastery of dynamic reconfiguration approaches. Mastery of power converters. Mastery of software tools including MATLAB
-
is seeking a post-doctoral fellow in Modeling and Crop Yield Prediction in Africa. The candidate will have the objective of developing models for estimating and predicting the yields of targeted crops
-
. The overall objective will be to develop highly efficient fertilizer formulas based on triple superphosphate as the mineral fraction; As a successful candidate you will be actively involved in various research
-
(CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level, to meet the research and
-
mathematical models to analyze and optimize waste flows. Optimization Techniques: Familiarity with advanced optimization techniques, including linear, non-linear, multi-objective, or stochastic optimization
-
the expected research objectives. We seek highly motivated individuals that can propose solutions applicable in the industrial setting and develop innovative methods of testing the proposed solutions in-lab
-
Green Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international
-
such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries. The candidate will need to master sensor technologies, embedded systems, and communication protocols
-
of GPP (gross primary production) to a nutritional stress for K (Cornut et al., 2022) The overall objective of this postdoc project is to improve our knowledge of nutritional dynamics in forest ecosystems
-
while improving the accuracy and minimizing the errors of the land surface model. In this context, the objective of this position is to develop an approach combining an appropriate land surface model with