148 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions in Morocco
Sort by
Refine Your Search
-
. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote
-
strong knowledge on the physics of light emission in nanomaterials and firsthand expertise in setting up optical experiments. Expertise on the design and implementation of set-ups for photoluminescence
-
Description du poste Postdoc / Postdoc description Département / Department : Unité / Unit:Center for African Studies Université / University: Mohammed VI Polytechnic University Durée / Duration
-
for a 24-month postdoc position in geochemistry with a particular emphasis on the Upper Cretaceous-Paleogene marine sedimentary sequences in Morocco. We are especially interested in candidates with
-
Institution: Mohammed VI Polytechnic University (UM6P) Department: Chemical and Biochemical Sciences - Green Process Engineering (CBS) Location: Benguerir/Jorf Lasfar, Morocco Duration: 12 months
-
stress. Responsibilities: Monitoring PV panels: temperature, efficiency, dust accumulation. Using environmental sensors and thermal cameras (UAV/IR). Comparative analysis of PV configurations: with vs
-
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 in order to boost its quality
-
and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research
-
applications in linkage with incubation and start-up ecosystems. About ACER The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create
-
real-world applications in green chemistry and industrial synthesis. Key Responsibilities: Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic