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and evaluating efficacy in animal models. The selected candidate will develop 3D biomodel of the human nasal cavity based on imaging data obtained from human diagnostic scans. He/she will also
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components of advanced alloys; applies experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability
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excellence in battery research and education for the transport sector, KTH join forces with a coordinated initiative on composite SSB with seven postdoctoral positions in several disciplines, focusing
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-genome sequencing and resequencing data from non-model arthropods, particularly insects and spiders. A substantial part of the work will involve processing and analyzing genomic data from historical and
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. The researcher will gain an educational experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and
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research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes transdisciplinary, entrepreneurship and collaboration with
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within the catalyst bed. Conductive materials (graphene, conductive SiC, and composites) both drive reactions and distribute heat, reducing losses, improving stability, and enabling compact, flexible
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mitigation strategies. Monitor and record substrate composition, larval growth, survival, biomass yield, feed conversion efficiency, and frass output. Coordinate mid-scale validation trials, simulating
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of the material composition of rocks and ices forming in the disks. Your Tasks Prepare archival and new observational data (for example ALMA or JWST) for analysis and modelling, including high-quality data
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experimental work for an ARUK Major Project grant. The project will be investigating how microglia respond to challenges in brain organoid models. This will involve developing and applying advanced human iPSC