203 phd-mathematical-modelling-ecological-modelling Postdoctoral positions in Morocco
Sort by
Refine Your Search
-
on soil biology, microbial ecology, and molecular biology techniques. This position offers an exciting opportunity to contribute to advancing our understanding of microbial communities in soil ecosystems
-
scientific papers to study the botany and ecology of native desert plant species of south of Morocco as well as their interaction of their ecosystems including the soil. The successful candidate will conduct
-
, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About Entity (Hiring entity): This Chair conducts its research around major
-
project as a driving force of a business model. About Entity (Hiring entity): This Chair conducts its research around major contemporary transitions: environmental, social, technological, cultural, and
-
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
-
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
-
Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models
-
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
-
, 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
-
of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict