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Postdoctoral position (M/F): Machine learning design of alloys for concentrated solar energy storage
to accelerating the development of new materials, we are seeking to model and design new metallic liquid alloys for various applications, in general, and to be used for latent heat storage, in particular. Your
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A 30-month postdoctoral position in Computer-Aided Drug Design is available at Institut Pasteur in Paris within the Chemoinformatics and Proteochemometrics group of Olivier Sperandio and the
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microscopy. We are looking for a highly motivated postdoctoral researcher to develop new tools for studying endogenous molecules in their cellular context. These tools will be designed to image the same
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topics “Physics of chiral cholesteric liquid crystals: design, optics and structure” and “Biological liquid crystals with their biomimetic versions”. The experimental methods include a strong effort in the
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, to deal with cryptographic SAT instances. The task is dedicated to designing a SAT solver to treat XOR-CNF logical formulas. Two directions of research : - Encodings and reformulation of XOR-CNF formulas
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to express each of the 11 adverbial functions - Produce an inventory of all complex sentences in LSF (using existing work and their novel work) - Design and carry an experiment to test comprehension
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, design, construct and install parts of the aQCess platform. It is expected that the researcher will publish open hardware designs, scientific and technical papers and present research results at national
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enabling more precise design considerations, and enhancing the financial feasibility of offshore wind projects. MISSIONS As a postdoctoral researcher in wind turbulence modeling, you will spearhead
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project Design and implement experiments on biscriptuality and writing, using kinematic and electroencephalographic methods. Promote achievements and results in the form of scientific publications, reports and
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of industries. Researchers need to consider the multiple factors simultaneously to design state-of-the-art RF devices for the next generation of identification services. One important direction is to develop low