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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
. An ABC-miktoarm star block copolymer is a material where distinct polymers A, B, and C are connected to a common junction point. This sets topological constraints on the packing of the polymer chains and
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genomics. The successful candidate will work on developing novel AI models that (i) integrate thousands of genome assemblies and multimodal biological datasets to uncover the genomic determinants of species
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skills and research independence needed for pursuit of a career. The Ear lab at the Department of Hematology and Medical Oncology aims to develop novel NET models for small molecule drug testing and
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attention in the context of 2D heterointerfaces . We propose in this project to study the combination of the well-konwn monolayer WS2 with bulk exfoliated InTe therefore as model for hybrid 2D/quasi-1D system
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observations of greenhouse and ozone-depleting gases using models, measurements and inverse methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, and
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atomistic tight-binding and multi-bands k.p models for the electronic structure of the materials. Using TB_Sim, CEA has made significant progress in the understanding of various aspects of the physics of spin
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/ General relativity , Gravitation Theory , Gravitational waves , particle physics around axions , Physics Beyond the Standard Model , Quantum Field Theory , Theoretical High Energy Physics , Theoretical
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Postdoctoral Researcher with a strong computer science background and demonstrated expertise in deep learning and generative model development to lead the AI component of this initiative. Responsibilities and
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proteins in the ER. The postdoctoral associate will participate in multiple research projects investigating the plant UPR using the model organism Arabidopsis thaliana. Responsibilities include designing and
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sorghum, using new whole genome CRISPR screening techniques that the lab has developed. The project is in close collaboration with computational approaches that model the genes and circuits that make cells