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background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with genetic association studies, immune repertoire
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analysis skills, with a minimum of 3 years of statistical programming experience with R (possibly also Stata, Python or other statistical software) Excellent oral and written English-language communication
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, health services research, epidemiology, biostatistics, public health, or a related quantitative discipline. Strong quantitative and analytical skills with proficiency in R, Python, Stata, or SAS
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structural imaging (tractography, voxel-based morphometry, etc.) Experience working in the area of motor control and cognition Comfortable analyzing data in Matlab, Python, or similar languages Ability to work
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, Python) for data analysis and visualization. Excellent communication skills, both written and verbal, with a proven ability to work collaboratively in a team environment. Experience mentoring trainees is
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and/or spatial genomics datasets is a plus but not necessary. Proficiency in programming (e.g., Python, R) and familiarity with common bioinformatics tools and packages. A PhD in developmental biology
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postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is
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GIS software and Python, strong written and interpersonal communication skills, and a demonstrated interest in addressing social justice issues through data-driven research. The postdoc will work in
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/Python coding, next-generation sequencing data interpretation, large-scale data integration, and machine learning. Science: strengthen the ability to formulate hypotheses, design aims to test the
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV