6 parallel-processing "SciLifeLab " "SciLifeLab " Fellowship positions at Indiana University
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develop both high-throughput and gene-specific approaches for determining the functional consequences of human genetic variation. Current and developing projects include massively parallel splicing
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, fluorescence) Computational skills for data analysis, signal processing, or simulation (Python, MATLAB ) Experience mentoring junior researchers Salary and Rank Special Instructions Applications
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. Experience collecting/processing mouse embryos, particularly at early stages of development, is highly desirable. Experience with cell culture, immunofluorescence or in situ hybridization would be considered a
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photonics, and related quantum technologies. Design, fabricate, and characterize quantum-material and nanoscale devices using techniques that may include materials synthesis and processing
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platforms. Coordination of biological sample pipelines (kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis
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graduate are also welcome to apply. Hands-on experimental experience with developing optical systems and the use of lasers. Proficiency in data processing software e.g., Python, Matlab. Exhibits excellent