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well as greenhouse gas (GHG) emissions, play a central role in determining whether restored wetlands can deliver sustained climate mitigation, biodiversity support, and water quality improvement. You will be part of a
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importance. Acoustics-based diagnosis, using an array of microphones, is a promising method to identify faults, as sensing on the moving components in these high tech systems is not possible. The challenge is
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cells. Our research focuses on development and function of novel innate immune cells in vital tissues such as the lung and the brain. The Postdoctoral Associate will explore components of innate immunity
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thermal control for real-time configuration adjustments. This hybrid passive-active system reduces dependence on traditional mechanical components, offering significant improvements in fuel efficiency
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Environmental Science (CAES) and AgroBiosciences Program (AgBS) at UM6P: The College of Agriculture and Environmental Science (CAES) is a component of the Science & Technology pole of Mohammed VI Polytechnic
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colleague as Postdoctoral Researcher in Plasma Topcoats for Engineered Textiles. This postdoctoral position is part of a large European consortium project focused on the development of novel functional
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evolve from stand-alone technologies into integrated product–service systems—reliable, usable, maintainable, and approachable for non-expert professionals. This postdoc position is part of a project that
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well as greenhouse gas (GHG) emissions, play a central role in determining whether restored wetlands can deliver sustained climate mitigation, biodiversity support, and water quality improvement. You will be part of a
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computation. Prior experience with DNA strand design or molecular computing is desirable. You should be able to plan and execute your own research, engage in scientific discussions, and work as part of a
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
neural network that conserves heat, mass, and salt across model components; 2) implementation of the network in the SIS2 sea ice model; 3) evaluation of the impact of the conservative network in fully