Sort by
Refine Your Search
-
, national conferences and summer school activities Collaborating with world class institutions Mentoring PhD and research assistant students Contributing to drafting proposals, research papers and patents How
-
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
-
results and contribute to the writing of scientific articles. Candidate Profile: PhD in plant ecology, soil science, environmental science, or a related discipline. Proven experience in arid or degraded
-
-reviewed journals. The selected candidate will work closely with our team of researchers, doctoral and master's students, as well as technicians, contributing to cutting-edge research in our department. Main
-
. Ensure timely delivery of project milestones and deliverables. Mentorship and training: Supervise and mentor PhD students and research assistants involved in the project. Provide training on experimental
-
Qualifications PhD in Microbiology, Immunology, Systems Biology, Bioinformatics, or a related discipline. Proven experience in microbiome research, particularly in gut microbiota. Experience with next-generation
-
platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With
-
) Country Morocco Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
-
platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With
-
to environmental temperature stress during early development stages. This research will involve high-throughput omics, physiological assays, and computational modeling to design and validate stress-priming protocols