Sort by
Refine Your Search
-
expected to conduct homologous overexpression, gene silencing, sequence analysis and contained phenotyping. Education A PhD in Molecular Biology, Genetics, Genomics, or a closely related field Requirement
-
and their role in soil health. The project combines aspects of soil ecology, soil microbiology, and soil biology to explore the dynamic interactions between soil microorganisms, their environment, and
-
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
-
investigating molecular mechanisms underlying plant physiological responses to environmental stress. The successful candidate will work at the interface of molecular biology, physiology, and omics technologies
-
3 Oct 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Morocco Application Deadline 2 Oct 2026 - 00:00 (UTC) Type of Contract Permanent Job...
-
), AgroBioSciences (AgBS) Job Title: Post-Doctoral position Area of specialization: Genomics, Molecular Biology and Bioinformatics. Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI
-
biostatistical analysis and molecular biology is highly required. The postoctorate will perform experiments and analysis both in Morocco (UM6P) and in France (CEREGE, Aix en Provence). Key Responsibilities: Design
-
highly skilled Postdoctoral Research Fellow with a background in Natural Products Chemistry. Candidates should hold a PhD in Natural products chemistry, Phytochemistry, Cell biology, Pharmacognosy
-
the scope of microbial ecology, environmental microbiology, and bioremediation. Strong expertise in biostatistical analysis and molecular biology is highly required. The postoctorate will perform experiments
-
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