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Field
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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interests include flow of soft materials, non-equilibrium dynamics, dynamics of soft glasses, statistical physics of yielding, shear thickening of dense suspensions, phase behaviour, self-assembly, fluid
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PI: Jason M. Klusowski The Department of Operations Research & Financial Engineering (ORFE) invites applications for postdoctoral or more senior research associate positions broadly in statistics
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and type 2 diabetes. Comfortable writing code in languages like R or Python for bioinformatics/statistical analysis or proficiency in Unix shell scripting or high-performance computing. Familiarity
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investigating how targeted interventions modulate brain networks and relate to clinical improvement in PGD. The Fellow will contribute to the development of computational brain models of grief and resilience in
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, transcriptomics, proteomics, leukocyte functional assays, and statistical and computational biology to define altered host-pathogen interactions in viral, bacterial and fungal infections in immunocompetent and
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machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well
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opportunities across the country and accelerate the national transition to resilient and affordable energy. Fellows will receive a stipend to offset the cost of their participation in the program and an allowance
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Zone Description The DOE Scholars Program is designed to attract talented undergraduate and graduate students, and recent graduates to research, technical and professional opportunities within U.S
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environment with 400 employees and 10 research sections spanning the scientific disciplines of mathematics, statistics, computer science, and engineering. We offer education ranging from bachelor's degrees