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colleagues to achieve team goals. Excellent proficiency in the following areas is preferred: 1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint 2. Experience in R, Python The successful
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in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are seeking a computational biologist, biostatistician or bioinformatician with
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 14 days ago
., Python, g-code) Data analysis Statistical analyses How to create reports Mentor: The mentor for this opportunity is Prasanna Hariharan (Prasanna.Hariharan@fda.hhs.gov ). If you have questions about the
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analysis of behavioural experiments Strong quantitative and programming skills, and knowledge of one or more relevant programming languages (e.g. Matlab; Python; R). Experience with, or an understanding
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commonly used in genetics and molecular epidemiology. Expertise in R, Python, bash is required. Strong communication (oral and written) and interpersonal skills, and experience working in a large research
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scientific software development. Proficiency in C/C++ and Python, with experience in HPC environments (e.g., MPI/OpenMP; GPU experience a plus). Record of peer-reviewed publications appropriate to career stage
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in research methods or data analysis Proficiency with data analytic programs (e.g., Stata, SPSS, AMOS, SAS, R/Python, etc.) Experience translating and disseminating research findings to broader
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confidentiality. Ability to use sound judgment in responding to issues and concerns. Preferred Qualifications Analytical abilities and familiarity with programming tools including: Python (including Pandas, Sci-kit
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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a related field who bring hands-on expertise in in vivo calcium imaging or electrophysiology, along with strong data analysis experience in Python and/or MATLAB. Candidates who combine quantitative