Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
between catalysts and reactants. Write scientific reports and research articles and participate in conferences. Candidate Profile PhD degree in Chemical Engineering, Materials Science, or a related field
-
University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown
-
phosphorus and/or carbon metabolism. Strong background in plant nutrient transport, remobilization, or metabolic flux analysis. Familiarity with methods such as gas exchange analysis, root imaging
-
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
-
experiments to assess the efficacy of microalgae and cyanobacteria in improving soil quality and plant performance. Analyze experimental data using appropriate statistical methods and communicate findings
-
teach undergraduate and/or graduate students on marine biology, seaweeds cultivation, and aquaculture, as well as special courses related to the candidate's specialization. Supervise M.Sc. and PhD
-
results. Project Management: Contribute to the management of research projects, including writing funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications: PhD: A PhD
-
known solid-sate methods such as mechanochemical or pyrolysis. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated
-
and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and international partners, MSN is emerging as a strong actor in the Moroccan materials
-
Challenges Addressed in the Position: Heterogeneity and high dimensionality of multi-omics data requiring advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing