Sort by
Refine Your Search
-
IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
for applications in water stress mitigation, nutrient retention, and soil regeneration. This work directly contributes to water scarcity resilience and climate-smart agriculture. Job Qualifications PhD in Chemistry
-
-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
-
solutions that support and promote smart and sustainable practices in industrial processes. The successful candidate will develop innovative and efficient sensing platforms using advanced manufacturing
-
Internet-of-Things (IoT) are among the leading enabling technologies for smart systems (transportation, farming, health, etc.). Therefore, WSNs/IoT have received enormous attention where various
-
., electro/photo chemical CO2 reduction, catalytic chemical conversion, biological, etc.) CO2 mineralization in industrial waste Decarbonization in smart building ACER is engaged in pioneering research and
-
coastal experiences Smart marina services and digital interfaces Mobility and accessibility systems for coastal visitors and yacht clients Map and re-design user journeys for tourists, yacht owners, crews
-
models, integrating: Luxury sustainable tourism facilities (land side and sea side) Community-inclusive coastal experiences Smart marina services and digital interfaces Mobility and accessibility systems
-
analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
-
IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
regeneration. This work directly contributes to water scarcity resilience and climate-smart agriculture. Job Qualifications PhD in Chemistry, Materials Science, or a closely related field. Demonstrated
-
convolutional-neural-network architecture for crop classification. Applied Sciences, 11(9), 4292. Bhattacharya, S. & Pandey, M. (2024). PCFRIMDS: Smart Next-Generation Approach for Precision Crop and Fertilizer