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, especially in the area of simulations. Criteria of the candidate: PhD in the field of Computational Biology, or related fields Strong publication record in leading international journals Excellent background
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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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results and contribute to the writing of scientific articles. Candidate Profile: PhD in plant ecology, soil science, environmental science, or a related discipline. Proven experience in arid or degraded
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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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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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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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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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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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conclusions. Student Supervision: Play an active role in mentoring and supervising both graduate (MSc and PhD) and undergraduate students, fostering their academic and research growth. Teaching Contribution