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discipline The ability to independently design and execute experiments and interpret data Expertise in at least one of the following areas: Super-resolution imaging, including Stimulated Emission Depletion
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studies linking preclinical discoveries to clinical trials in radiation oncology. Innovative imaging and biomarker development to track response to ultra-high dose rate therapy. The postdoctoral scholar
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, and microscopy techniques including confocal fluorescent and live imaging. A Ph.D. is required on or before the start date. The University of Michigan conducts background checks on all job candidates
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approaches, where data storage and processing occur simultaneously at the materials level, inspired by the operation of the brain. This includes research on unconventional computing paradigms, such as
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Are you passionate about organic electronic materials and doped conjugated polymers, and how they connect processing, microstructure, and electrical performance? Prof. Derya Baran ’s research group
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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funded; future employment may be contingent upon future funding. Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload these documents to the application under CV
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thin film deposition is preferred. Advanced image processing and analysis skills. Experience with micromagnetic simulation is preferred. Ability to work independently as well as in collaboration with a
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
experimental characterization, ideally through micro-/nanoindentation and complementary imaging techniques (e.g. AFM) # Hands-on experience in the numerical modeling of mechanical material properties, e.g
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research environment Access to state-of-the-art core facilities (genomics, imaging, flow cytometry, bioinformatics, and more) Multidisciplinary training at the interface of cancer biology, functional