Sort by
Refine Your Search
-
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
-
, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their
-
: We are looking for a dynamic and motivated postdoctoral researcher to join our research team on urban governance. The successful candidate will work on interdisciplinary projects aimed at understanding
-
, or CO₂ capture). Strong knowledge of adsorption isotherm models, mass transport mechanisms, and surface chemistry. Experience in synthesis, functionalization, and characterization of adsorbents
-
characterization of porous functional materials such as MOFs and MOF composites as well as the fabrication of different nanoparticles Able to examine the textural and structural changes of porous material catalysts
-
research activities on industrial subjects relating to chemical phosphate manufacturing processes. The candidate will also participate in the supervision of internships, projects and practical work related
-
plant adaptation to temperature changes through stress priming and memory in the early growth phases. This project is part of a strategic initiative to develop temperature-resilient crops by harnessing
-
, and report writing. Lead data collection and contribute to the situational analyses to identify status of farming systems and feasibility assessments for informing context-specific and fit-for-purpose
-
to develop research on socio-spatial disparities and their impacts on access to essential services such as education, health, and infrastructure. The successful candidate will also work on analyzing and
-
(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