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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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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary
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to environmental temperature stress during early development stages. This research will involve high-throughput omics, physiological assays, and computational modeling to design and validate stress-priming protocols
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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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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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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
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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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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary