Sort by
Refine Your Search
-
nascent university, with its 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
-
University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown
-
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 environment in
-
candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown below. The candidate is expected to have hands-on experience in
-
) Country Morocco Application Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
-
systems that fuse multi-modal remote sensing, soil and phenology data to enable crop classification and precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded
-
precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or
-
Researchers Funding amount: To be defined Hours: Full Time Placed On: 21/05/2025 Closes: Until Filled Reference: Application: Deadline: Until Filled Job Description: We are seeking a highly motivated candidate
-
communities. Conduct phylogenetic and comparative genomic analyses to uncover the evolution of multidrug resistance in pathogenic bacteria. Analyze co-occurrence networks between resistance genes, virulence
-
the evolution of multidrug resistance in pathogenic bacteria. Analyze co-occurrence networks between resistance genes, virulence factors, and mobile elements in microbiome datasets. Collaborate with clinical