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(CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level, to meet the research and
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build your scientific career) You provide training, consultation and technical support to fellow researchers, master and doctoral students You hold courses independently within the scope of the provisions
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historical research and rhetorical analysis with digital humanities methods. Job description: The postdoc will contribute original research to the project by identifying patterns in prime ministerial rhetoric
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with bipolar membranes (BMED] for sustainable desalination brine treatment, at the crossroads of electrochemistry, membrane science, and environmental engineering. Main Responsibilities Design and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
geostationary weather satellites. Estimate primary and community production in a Lagrangian frame using velocity fields from a physical ocean model and satellite fields. Develop a data-constrained Lagrangian
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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original research on the grid integration of second life battery storage systems. The research will bring together second-life battery modelling, power system optimisation and technoeconomic evaluation
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theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a single tube. The primary purpose is to regenerate automatically through temperature
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and implementing cutting-edge CRISPR/Cas9 approaches in primary human hematopoietic progenitors to evaluate gene functions and the effect of genetic variants in blood cells, including platelets and
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning