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Field
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
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, developing pixel detectors for high-energy physics, telescope cameras, medical imaging systems, and other scientific and industrial applications. We are seeking an outstanding candidate—creative, analytical
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines
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, design of experiments, image and data processing. Position Requirements Recent or soon-to-be-completed PhD with strong background in Physics or Materials Science (within the last 5 years) Physics
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with these molecules. A successful candidate will be familiar with the differentiation of iPSC to myeloid cells, assays evaluating viral kinetics including p24 AlphaLISA analysis and high content imaging
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, prototyping, machining, assembly, integration, testing and operation of custom-built instruments. • Scanning Tunneling Microscopy Including Spectroscopic Imaging, Josephson and Andreev Modes Concepts, operation
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of electron microscopy and beam-material interactions. The ideal candidate will have a basic understanding of image processing. Core competencies: – Knowledge of image processing software (Avizo, Dragonfly, etc
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data with clinical, cognitive, imaging, genetic, and biomarker measures across longitudinal cohorts. This includes participation in biospecimen-based research and efforts to harmonize tissue and
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming