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. Criteria of the candidate: To be considered for this position, candidates should meet the following criteria: Recent PhD: Hold a Ph.D. earned within the last five years in Microbiology, Bioprocess
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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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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
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brackish water and/or seawater. Job description: The position is open to candidates with a PhD or equivalent in a relevant discipline from a recognized university. Candidates must demonstrate
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from a recognized university. The candidate should demonstrate that their PhD work and past experience allow them to have a connection to one or several aspects of the areas of research mentioned above
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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relationships with international suppliers. Actively participate in supervising PhD students, guiding them through their research projects. Participate in national and international events related to the theme
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Submission Applicants should submit: A cover letter outlining research experience, achievements, and research interests. A detailed Curriculum Vitae. A list of publications. The names and contact information
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associated with stress memory and enhanced stress tolerance. Develop and test priming protocols for crops such as tomato, eggplant, onion, and strawberry. Collaborate on data analysis using computational tools
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sciences, or a closely related field. Proven experience in omics data generation and analysis (transcriptomics, proteomics, metabolomics). Strong background in microbial physiology, protein/peptide