Kazakhstan Medical University KSPH

Mohammed VI Polytechnic University (UM6P) is an institution dedicated to research and innovation in Africa, aiming to position itself among the world’s leading universities in its fields. The University is committed to economic and human development and places research and innovation at the heart of Africa’s progress. This approach enables UM6P to strengthen Morocco’s leadership in these areas through a unique model based on partnerships and by fostering the development of skills essential for Africa’s future. Located in the municipality of Benguerir, at the heart of the Green City, Mohammed VI Polytechnic University aspires to make a lasting impact at the national, continental, and global levels. About ARC_AIR – African Research Center on Air Quality and Climate: The African Research Center on Air Quality and Climate (ARC_AIR) is a research unit within UM6P dedicated to advancing scientific understanding and innovative solutions in the fields of air quality, atmospheric chemistry, and climate. ARC_AIR’s mission is to support sustainable development in Africa through high-impact research, capacity building, and technology transfer. The center brings together a multidisciplinary team of researchers, engineers, and students working on addressing environmental challenges such as industrial emissions, urban pollution, and climate change impacts. ARC_AIR also collaborates closely with national and international partners to strengthen Africa’s contribution to global atmospheric science and to develop tools and strategies that guide evidence-based policymaking. Monitoring The African Research Center on Air Quality and Climate (ARC_Air) at Mohammed VI Polytechnic University invites applications for a Postdoctoral Research position monitoring agricultural emissions across Africa using satellite remote sensing, atmospheric modeling, and deep learning. Research Focus Estimate cropland emissions (NH3, N2O, CO2, CH4) using satellite observations, atmospheric chemistry models, and physics-informed deep learning, validated through field campaigns. Key Responsibilities Conduct atmospheric chemistry simulations Develop deep learning models for emission predictions Participate in field campaigns across Africa Publish in high-impact journals Contribute to data visualization platforms Required Qualifications Ph.D. in Atmospheric Science, Environmental Science, Remote Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record

Position Overview: We are seeking an outstanding Postdoctoral Researcher in Artificial Intelligence (AI) and Data Science with expertise in multi-omics data integration for health and precision medicine. The successful candidate will join a multidisciplinary team developing AI-driven approaches to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data fusion, enabling next-generation solutions in precision health and biomedical research. Scientific 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 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 discovery through integrative approaches. Time-series and longitudinal multi-omics data analysis for disease progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in processing and integrating massive multi-omics datasets from clinical cohorts. Key Responsibilities: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view learning, transfer learning, and data fusion techniques to integrate heterogeneous omics datasets and clinical metadata. Conduct network-based analysis (gene regulatory networks, protein-protein interaction networks, metabolic networks) to identify key disease drivers and biomarkers. Build predictive models for disease classification, patient stratification, and treatment response prediction. Collaborate with biologists, clinicians, and bioinformaticians for data interpretation and validation of computational findings in clinical or experimental settings. Disseminate research outcomes through publications in high-impact journals, conference presentations, and workshops. Mentor and support the training of graduate students and early-career researchers in AI and multi-omics integration. Required Qualifications: Ph.D. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics, proteomics, metabolomics, microbiome). Strong expertise in machine learning, deep learning, and advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases (e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation learning, and heterogeneous data integration. Strong publication record in relevant peer-reviewed journals. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC) environments. Understanding of data privacy, security, and ethical considerations in handling clinical data. Application Process: Interested candidates should submit the following documents in a single PDF: A cover letter outlining their research interests, motivation, and relevant experience. A detailed Curriculum Vitae (CV) with a list of publications. Contact details of two academic referees.

Job Title: CESFRA - Postdoctoral Position in Agronomy and Soils Sciences (Dynamic of organic matter (SOM) in soils and how to improve it contains, particularly, on its stable form and establish the relationships between SOM and biological indicators for soil health under different land uses). Area of specialization: Degraded soils, Organic matter, organo-mineral amendment, microbial inoculation, plant covert, soil health and quality, soil health indictors, sustainable agriculture, field experiments monitoring. About UM6P: 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 and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in the metropolitan area of Marrakech. About Center of Excellence for Soil and Fertilizer Research in Africa, College of Agriculture and Environmental Sciences: Center of Excellence of Soil and Fertilizer Research in Africa at the Mohamed VI Polytechnic University (CESFRA) aims to evolve a continental hub of knowledge, skills, technology and information on soil suitability, land use and fertilizer development, which can be accessible to the various African stakeholders viz., farmers, universities, research institutions, policy makers, public and private sectors with the purpose of unveiling the huge potential of the Africa’s agriculture. Certainly, the knowledge generation and accessibility tasks do take place through partnership, networking, faculty and students exchange between CESFRA of UM6P and the various academic, research and other related organizations operating in Africa.  The key thematic research and development areas that can help in transforming the Africa’s food production systems is listed below: Pedology and land use Soil fertility and fertilizer Soil Health Job/Project description: The Center for Sustainable Soil Sciences (CAES) at the Mohammed VI Polytechnic University seeks a dynamic and highly motivated individual to join our academic institution as a postdoctoral research staff in Agronomy (Dynamic of organic matter in soils and how to improve it contains, particularly, on its stable form and establish the relationships with biological indicators for soil health under different land uses). The successful candidate will contribute to our institution's commitment to excellence in research and innovation in agronomy and soils sciences, mainly by conducting innovate research which allow us: (i) to evaluate the effect of land uses and agricultural practices on the capacity of soils to store carbon and (ii) to develop strategies (organo-mineral amendment, installation of a plant cover, inoculation by microorganisms of agronomic interest) and propose recommendations (iii) to increase the sequestration of organic matter on its stable form in the soils and (iv) to use practical biological soil health indicators, such as soil fauna, to promote sustainable use of agricultural soils in Africa. Main responsibilities: The selected candidate will be expected to: Conduct a survey with farmers to obtain a general view of real agricultural practices used in the selected Mediterranean and Sub-Saharan African countries where SOC is very low;  Propose characterisation of the soil properties collected from different studied farms;  Test how to Improve soil organic carbon content using organo-mineral resources under controlled condition; Assess the effect of using organo-mineral resources on soil carbon stock in the field; Implement agronomic assay to evaluate the stability of clay-humic complexes under culture conditions and how an intense of microbial activity contributes into the process of stabilization of organic matter; Assess the effects of organo-mineral management on soil biological parameters, including soil fauna; Predict the dynamic of OM in the future global climate change by using Soil Organic Models. Mentor master students and PhDs Education, qualifications, and experience Applicants must have an earned doctorate in Agronomy, Soils Sciences with hands-on the dynamic of Organic Matter in the soils, or Soil Ecology.  Strong knowledge of soil science, soil fertility, and crop production systems in Mediterranean and Sub-Saharan African countries; Capabilities to set up field experiments and interpret measured data, including statistical medthods, and translate it high quality into manuscripts to be submitted;  Demonstrated experience of multidisciplinary research in the above research area. High-quality publications in relevant scientific journals demonstrate a strong record of research accomplishments. Experience in supervising undergraduate/graduate students. Strong communication skills in English and French, both written and verbal, to effectively engage with students, colleagues, and the broader scientific community. Applications and selection procedure: The application folder must contain: Cover letter indicating the position applied for and the main research interests. Detailed CV. Statement of research and teaching interests describing the candidates’ experience with the position field. 3 references letters