248 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by
-
components into chemicals and fuels, are particularly invited to apply. The successful candidate will plan, develop and conduct applied research projects dedicated to the conversion of biomass and its
-
possible. Establish collaborative links with the core scientific personnel in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to
-
(CBS) is a of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program of international level, in order to meet the research and
-
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
-
the mechanisms of plant cell memory and stress priming. The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is currently looking for motivated and
-
candidate will plan, develop and conduct applied research projects dedicated to conversion and bioprocessing of biomass using bio-chemical catalysis and green chemistry pathways synthesis of new biobased
-
particularly invited to apply. The successful candidate will plan, develop and conduct applied research projects dedicated to Interfaces and Colloids in green chemistry and chemical engineering focusing
-
Location: University Mohammed VI Polytechnic, College of Computing, Bioinformatics Laboratory, Ben Guerir, Morocco. Duration: 2 years About the Lab/Institution: The Bioinformatics Laboratory
-
progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in