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, or a closely related field. ● Minimum three years of research experience in computational modeling of brain circuits. ● Demonstrated expertise in the Neuroblox computational neuroscience platform
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for modeling materials to be printed. - Formulation and DLP printing of GelMA materials loaded with MIL-100 and SBA-15. Optimization of formulation parameters (GelMA concentration, inorganic particle loading
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requires experience in cognitive processes underlying food choice, context effects, experimental research, quantitative analysis, computational modeling, and eye tracking. Applications must be submitted by
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Team Leader at MPIC). The project aims at developing an advanced integrated assessment modeling framework that links socio-economic, environmental, and technological factors to understand the impacts
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materials. The project aims to design proteins capable of efficiently depolymerizing plastics into reusable monomers under mild and sustainable conditions. The project has a strong focus on developing and
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the Biomechanics, Wood, and Bio-based Materials axis of LMGC (Laboratory of Mechanics and Civil Engineering, Montpeliier), where we carry out research (experimental and modeling) on the biophysical determinism
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presentation of results. Required Education: PhD in Materials Science and Engineering Desired Education: PhD in Materials Science and Engineering Required Experience: Extensive experience with scanning and
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. You will develop thermal material/device thermal models for device design using finite element and other simulation tools and support short-term industrial contract. Postgraduate (PhD) experience in
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Posting Description POSTDOCTORAL ASSOCIATE, Materials Research Laboratory, to join a team to advance low-carbon concrete (LCC) systems, supporting a national initiative in collaboration with the MIT
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applied to concrete and rocks. Professional Experience: Experimental testing methodologies for quasi-brittle materials such as concrete and rocks, including salt rock. Constitutive models applied