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software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts. Duration
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engineering, MRI Physics, or related fields • More than 2 years of MRI research or technical development • Experienced in data analysis using MRI software (e.g., SPM, FSL) • Adept in programming with MATLAB, C
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manually and electronically. Perform basic data quality evaluation, cleaning and normalization of FCS files and help in analyze data using licensed software. Assisting the director with research and
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building and testing analysis and monitoring software for its upcoming data run in 2027. 70%: Research, divided between Mu2e and Mu2eII. 10% Supervision of graduate students, technicians, and undergraduates
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one-year appointment with the potential to be extended contingent upon funding, satisfactory performance, and the needs of the school. Job duties include: ● Maintain open-source software on GitHub
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tools and pipelines for omics data analysis, including differential expression, pathway enrichment, and network analysis Experience with statistical analysis software (R, Python) and data visualization
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measures for comparing hearing performance between ANI and CI users. Create and maintain software tools for stimulus delivery, response collection, and data analysis (MATLAB and Python). Collaborate with
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outcomes. The individual will be expected to develop stimulation strategies and testing algorithms, write code, and develop software. They will do extensive validation and testing, under the supervision
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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understanding of genomic data analysis, including next-generation sequencing (NGS) data. ● A strong desire and willingness to learn new software and advanced analytical techniques as required by research