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At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers
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at the interface of hardware and software for world-leading observatories, and collaborate with international teams of scientists and engineers - then welcome to the team! Our ground-based astronomical
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T-cell immunogenicity of HLA-presented peptides remains limited. This gap significantly restricts the utility of current antigen presentation quantification tools—both in silico and experimental
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applicable, invention disclosures Your profile PhD in materials science, physics, electrical engineering, mechanical engineering, or related field Strong hands-on experimental skills with functional materials
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with experimentalists to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers
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work employs genetically engineered mouse models, pharmacologic and surgical perturbations, and longitudinal phenotyping to interrogate disease initiation and progression at cellular, tissue, and systems
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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-inspired solutions to address fundamental limitations of the current manifestations of the technology in terms of data stability and dynamic data operability in vitro and in vivo. You will be joining our
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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, as well as implementation and further development of Oxford Nanopore technology (ONT) based long read sequencing workflows. Furthermore, implementation and customization of bioinformatics workflows