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for processing NGS data (e.g., WGS, RNA-seq, single-cell, ChIP-seq). · Develop production-ready, version-controlled, well-documented software and command-line tools in Python, Perl, R, or similar languages
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candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be motivated, organized, and will work under supervision to help the investigator
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experience to equal at least four years. Proficiency with R, Python, shell scripting, and workflow management tools (e.g., Conda, Singularity). Familiarity with Linux/Unix operating systems. Strong
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, or a related technical field. ● Strong programming skills in Python, Java, etc. ● Expertise in machine learning, neural networks, and deep learning ● Excellent writing and communication skills ● Highly
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work experience to equal at least 8 years. • Experience in computer programming (esp. Java, R, and/or Python) • Strong problem solving skills • Excellent attention to detail • Excellent written and oral
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BA/BS in Astrophysics, Physics, or Computer Science Preferred Qualifications Experience with Python, and hands-on work with telescopes About the Department School of Physics and Astronomy: https
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. The successful candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be independent, motivated, and highly organized and will help the investigator
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research design using FSL and AFNI. Proficiency in programming in R, Python, Linux/Bash, and Github. Excellent communication and interpersonal skills. Preferred Qualifications Demonstrated experience in
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navigation of medical records. ● Has experience with coding and data analysis (e.g., MATLAB, Python). Preferred Qualifications: ● Practicum relating to the treatment or research of neurodegenerative disorders
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, in both supervised and unsupervised paradigms. Almost all of our analyses involve frequency-domain (Fourier/wavelet and related transform) analysis. The current codebase is a mixture of Python, R, and