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the interactions between soil amendments, cropping systems, and environmental stressors (salinity, drought) on plant nutrition and growth. Crop and soil analysis: Perform detailed analyses of plant tissues, soils
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a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a
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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
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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data
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of graduate and postgraduate research projects; Co and lead-authorship of project reports, patents, presentations and published papers; Selection criteria: The position is open for candidates holding a PhD
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reports, patents, presentations and published papers; Selection criteria: The position is open for candidates holding a PhD related to crop protection (entomology), completed in the past five years
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: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation and temperature in Morocco. This will involve data analysis, model
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interactions in plant ecosystems and making strides towards sustainable agricultural solutions. Visit our website at https://agc.um6p.ma for further details. The ideal candidate must possess a PhD degree in
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analysis of inorganic and organic-inorganic hybrid coordination polymers. Job description: The Applied Chemistry and Engineering Research Centre of Excellence (ACER CoE) at Mohammed VI Polytechnic University
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knowledgeable in molecular biology and chemical analysis. Proficiency in biostatistics is very desirable. The postdoctoral fellow will play an integral role within our dynamic, multidisciplinary team dedicated