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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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Qualifications PhD in Microbiology, Immunology, Systems Biology, Bioinformatics, or a related discipline. Proven experience in microbiome research, particularly in gut microbiota. Experience with next-generation
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communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a two-year research project in collaboration with international academic partners
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of biology and the effect of mutations. He/she would also be required to have a sound computational background, especially in the area of simulations. Criteria of the candidate: PhD in the field
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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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and machine learning to optimize treatment conditions. Contribute to the development of reproducible stress priming methods and assist in transferring knowledge to agricultural stakeholders. Required
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selected in accordance with this and expected to be in the upper segment of its class with respect to academic credentials. Candidate must hold a PhD in synthetic organic chemistry and must have: Clear
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evaluations carried out in the presence of crops. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials
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to grant writing and development of new research proposals. Required Qualifications: PhD in Microbial Genomics, Bioinformatics, Molecular Microbiology, Infectious Disease Biology, or a related field. Proven
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experience in natural product extraction, purification, and metabolite identification. Proficiency in the use of LC-MS/MS, GC-MS/MS, NMR, and relevant data analysis software (e.g., MestReNova, Thermo