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Field
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. The candidate will engage in cutting-edge research employing molecular and chemical biology techniques, including LC-MS metabolomics, flow cytometry, mouse model studies, genomics, proteomics and bioinformatics
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, molecular biology, biochemistry, immunology, or related field, with a strong focus on murine myopathy models. Demonstrated experience in in vivo experimentation, including animal handling, dosing, tissue
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Project overview Biological catalysis achieves remarkable chemical transformations using only a small set of coenzymes. Among them, flavins (FMN and FAD) stand out as uniquely versatile molecular platforms
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Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress
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. - Conduct high-throughput serum proteomic analyses and integrate molecular datasets. - Validate candidate biomarkers in independent cohorts. WP3.2 – Integrated predictive modeling: - Develop integrative multi
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-, outcome- and sensory-guided actions, and how these processes are disrupted in genetic neurodevelopmental disorder models, including autism, OCD, ADHD, and intellectual disability. Postdocs will work in a
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research under PI mentorship. Design, execute, and analyze translational studies focused on hereditary hearing loss and LOXHD1 dysfunction. Develop and characterize preclinical models, including mouse models
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their EVs stimulate or regulate immune responses. They will also investigate if EVs can be used for cancer immunotherapy. The studies will be performed in model systems in vitro and in vivo. The studies will
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, disability or protected veteran status. Required Degree Doctorate -Plant Biology, Molecular Biology, or Genomics Minimum Requirements PhD in Plant Biology, Molecular Biology, Genomics or related field At least
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to environmental light disruptions during pubertal development. The position exists to generate high-quality experimental data using behavioral, in vivo imaging, and molecular techniques in pre-clinical models