Sort by
Refine Your Search
-
navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration and real-time data acquisition systems. Participate in testing and deployment
-
fertilizers is preferred but not mandatory. Experience in experimental data analysis and modeling of nutrient release processes. Hands-on experience in field preparation and establishment of multisite field
-
petrogenesis; Integrate multidisciplinary data (petrological, geophysical, geochemical) for comprehensive geological modeling; Write technical reports and Collaborate effectively with team members, industry
-
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 Research Institute (ASARI) is a
-
values across different omics layers and platforms. Cross-omics data fusion and representation learning for comprehensive systems biology modeling. Identification of causal relationships and biomarker
-
on creating and optimizing state-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities
-
for a 24-month postdoc position in geochemistry with a particular emphasis on the Upper Cretaceous-Paleogene marine sedimentary sequences in Morocco. We are especially interested in candidates with
-
: The Global Critical Zone Science Chair at the Mohammed VI Polytechnic University (UM6P) invites applications for a two years postdoc fellowship (candidates from Moroccan or African universities
-
to environmental stress. The successful candidate will work at the interface of molecular biology, physiology, and omics technologies to dissect regulatory networks in model and/or crop plants. Key Responsibilities
-
) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation