Sort by
Refine Your Search
-
nationally, continentally, and globally. About CBS: The Chemical & Biochemical Sciences, Green Process Engineering (CBS) department is a component of Mohammed VI Polytechnic University (UM6P). CBS aims
-
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 level
-
conducts research in the fields of bioinformatics, computational biology and computational chemistry and serves the agricultural, environmental and health sectors. The lab also provides bioinformatics
-
Job description: Sustainable Materials Research Center (SUSMAT-RC) is seeking a highly motivated and talented postdoctoral fellow to join our research team focused on the development of innovative
-
Location: Benguerir, UM6P Contract Type: Fixed-Term Contract (FTC) Duration: 2 years Start Date: As soon as possible Job Description: The specialist in urban energy networks is responsible
-
CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
metabolomics) to achieve systems-level insights into disease mechanisms. Identification and validation of clinically relevant metabolic biomarkers for early disease detection, prognosis, and treatment response
-
Global Critical Zone Science Chair to develop and conduct a research program to strengthen the understanding of Enhancing soil C sequestration in pasture systems, a key mitigation option for countries
-
Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco
-
, data science applied to health or urban planning, smart urban systems, or a related field. Expertise in Big Data Analysis: Proven expertise in analyzing and processing large urban datasets for public
-
for comprehensive systems biology modeling. Identification of causal relationships and biomarker discovery through integrative approaches. Time-series and longitudinal multi-omics data analysis for disease