Jesuit Worldwide Learning

Entreprise: Université Mohammed VI Polytechnique (UM6P), an internationally-oriented institution of higher education, is committed to an educational system based on high standards of teaching and research in areas of priority to the economic development of Morocco and Africa. Our young university is building a renowned international academic network, supported by a teaching and research staff with extensive professional experience. Thanks to its state-of-the-art infrastructure, UM6P offers a very pleasant environment in which to work, study and live. Post: Context In an ever-changing world, where discoveries and technological upheavals in both the applied and fundamental sciences are almost a daily occurrence, one chasing the other, the role of the philosopher of science is essential and necessary. The philosopher's work must shed light on and put into perspective the conclusions of scientific discoveries, what they reveal about our understanding of the World, what they tell us about the interaction between Science and Society, but also by examining the truth of scientific theories (this is the role of the epistemologist) and the impact of putting them into practice (this is the role of the researcher in ethics). Supervision The post-doctoral researcher will be co-supervised by Professor Ali Benmakhlouf, a specialist in the philosophy of ethics and the philosophy of logic, and Professor Abdelouahab Rgoud, a specialist in the philosophy and epistemology of mathematics and the physical sciences. Job description The ACPPS-UM6P Research Center has an opening for a one-year renewable Post-doctoral position (October 2025-October 2026) in the research field of contemporary philosophy of science. The research project proposed by the candidate could be in one of the following fields (without necessarily being limited to it): Philosophy/epistemology of contemporary physics Philosophy/epistemology of contemporary mathematics Philosophy/epistemology of contemporary logic. Philosophy of Artificial Intelligence (AI) Ethics Selection Applicants send a full CV, a motivation letter (1 page), a sample of academic writing (term paper, or chapter of thesis max 30 pages), a research statement (1 to 2 pages), two letters of recommendation, and full transcripts for academic transcripts for their previous studies. The preselected candidates will be contacted and interviewed. Salaries and working conditions. The Post-doc program is fully funded. Students can expect to receive roughly 20k dirhams per month (equivalent to 2k euros). The program involves helping the school as a teaching assistant which is a valuable source of experience for building an academic CV. Advanced students may also receive additional support for further teaching and/or consulting work, with opportunities provided through the ACPPS Center. The work will be carried out within a dynamic group of over ten researchers working on the theme of Arabic classical philosophy and philosophy of sciences. The campus is new, near Marrakech in the city of Ben Guerir, and offers public facilities and accommodation for doctoral students. Profiles Candidates must have a PhD degree. Further helpful factors on candidate CV’s would be a demonstrated ability carry out research, publish articles in international journals, and real world professional experience working on collective intelligence related themes. Adresse: Lot 660, Hay Moulay Rachid, Ben Guerir 43150

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.

About ASARI The African Sustainable Agriculture Research Institute (ASARI) launched by UM6P in Laayoune in 2020 within the Foum Eloued technopole project focuses on several research and development programs including biosaline agriculture, native species valorisation, camel value chain, water and renewable energy. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular biologists, bioprocess specialists, animal scientist, etc to respond to regional challenges affecting marginal environments. Job Summary The postdoc will conduct research, prepare proposals, write reports and scientific papers to study the botany and ecology of native desert plant species of south of Morocco as well as their interaction of their ecosystems including the soil. The successful candidate will conduct field expeditions to collect plant and soil samples, characterize vegetation and their habitats as well as identifying plant species. Job Responsibilities Responsibilities will include but not limited to: Develop clear and strong methodology according to high standards in the field of plant ecology and botany. Conduct botanical expeditions to characterize native plant species of south of Morocco. Collect plant and soil samples and study interactives synergies between native species and their ecosystems. Identify plant species using botanical identification keys and AI tools. Elaborate plant and soil databases Conduct ethnobotanical field surveys Elaborate atlas botanical book including design and content Data scheduling, collection, analysis, interpretation, and presentation. Supervise PhD and Master students as well as interns Project management including budget, materials, equipment, and staff Additional responsibilities will include: Research proposal writing for external funding Report writing for research project Manuscript writing and publication in referee journal. The candidate will also be expected to help maintain all field and laboratory equipment, order supplies as needed, and help maintain research plot records and. Responsibilities also involve frequent travelling in desert environments at national and international level Qualifications and Experience Essential Ph.D. in plant ecology, botany, plant science, or a closely related field Field based botanical research experience is essential. Expertise in of one of the following areas (please indicate in covering letter): Botany Plant ecology Taxonomy ethnobotany Good publications record in refereed journals Fluency in written and spoken English. French and Arabic will be a plus Experience in working as a member of a multi-disciplinary team Ability to initiate, conduct, and publish research in a scientific manner and to obtain external grant funding Well-developed oral and written communication skills Desirable: Working knowledge of statistics and database management Additional language skills, Arabic and French are desirable Supervisory experience