University Of Gitwe

Post-doctoral fellowship in the development of MOF catalysts for photocatalytic CO2 conversion and water splitting Mohammed VI Polytechnic University (UM6P) - Chemical & Biochemical Sciences CBS Department Qualification Type: Postdoctoral position Location: Ben Guérir, Morocco Funding for: National/International Researchers Funding amount: To be defined Hours: Full Time Closes: Until filled Reference: Application Deadline: Until Filled Job Description: The CBS department at UM6P is looking for a highly motivated candidate with strong expertise and interest in developing MOFs and their composites for catalysis. The job vacancy involves designing, synthesizing, and characterizing highly catalytic active MOF composites for photocatalytic CO2 conversion and water splitting. Materials synthesis will involve wet chemistry and 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 experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis, and related disciplines. The candidate is recommended to demonstrate experience in undertaking independent research, managing research activities of Master and supervising PhD students. Fluency in English as well as a proven ability to write scientific articles are also mandatory. The post-doctoral fellow should be an effective team player to interact constructively with the interdisciplinary team of the CBS department and other collaborators with different backgrounds. For further information, please contact samir.elhankari@um6p.ma The project requires the following skills: Familiar with catalytic tests for energy applications (water splitting, CO2 conversion, water splitting…) Able to monitor the obtained products through different analytical techniques including HPLC, GC-MS, Infrared gas analyzer…etc Familiar with the understanding of catalytic reaction mechanism by correlating the structural, textural features, the chemical (acidity/basicity, hydrophilicity/hydrophobicity, etc.), and electronic properties with the presence of active sites and metals within porous materials with catalytic activity. Familiar with the fabrication and characterization of porous functional materials such as MOFs, MOF composites, and the fabrication of different nanoparticles. Insertion and encapsulation of nanoparticles within the porous materials Able to examine the textural and structural changes of porous material catalysts before, during, and after the reaction using a panoply of characterization techniques such as XRD, N2 adsorption, FESEM, TEM, XAS, XPS, dissolution-NMR, IR spectroscopy and TGA and other related spectroscopy techniques such as UV and fluorometer. About UM6P: 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 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 CBS/GPE: Research within CBS-GPE is organized around two main areas: Chemistry with its main chemical engineering component, chemo-biology and heat treatments and their applications in industries. CBS-GPE projects aim to achieve an in-depth understanding of the molecular mechanisms of these transformations to suggest new, original, more effective, sustainable, and environmentally friendly alternatives. Funding information: This position is available for one year, extended to two years depending on the performance. Interested applicants should submit their online application with a CV, cover letter, and 2 contacts for recommendation. Applications are open until the position is filled. Guidance from leading experts in the field and research training at UM6P. Workspace at UM6P campus, and resources to attend and present at conferences and workshops. A vibrant research environment in the CBS department, with regular research seminars, reading groups, workshops, and conferences.

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.

Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. Postdoctoral Research position: Proteomics and Drug Development. The Chemical and Biochemical Sciences-Green Process Engineering at the University of Mohammed VI Polytechnic Benguerir Morocco seeks Postdoctoral applicants in Proteomics and Drug Development. Job/Project Description: The widespread and indiscriminate use of antibiotics has accelerated the increased prevalence of Antimicrobial Resistance (AMR) around the globe. Our knowledge of the mechanism associated with drug resistance (e.g., molecular adhesion and invasion) is still incomplete, representing a hurdle to developing new therapeutic strategies. To find novel therapeutic targets of drug-resistant bacteria, in our investigation, we apply OMICS approaches to study the alteration of the proteome and its organization on protein complexes to uncover the associated mechanisms of drug resistance. To meet our objectives, we have collaborated with colleagues from Canadian, USA, and European universities, and we are equipped with OMICS state-of-the-art technologies. Fellowship Competitive international compensation and health insurance Expected activities. Conduct research as part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research statement (summary) Interest in intracellular organelle/cell biology, signal transduction, proteomics, drug design, or related fields Good knowledge of cell biological and molecular biological methods Experience in bioinformatics tools related to proteomics and drug design. Aptitude for teamwork, problem-solving solving, and collaborative relationships Verbal and written skills in English Positive attitude in changing fast-paced environments. UM6P.