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Field
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potential research sponsors Excellent oral/written communication skills and interpersonal skills Experience with programming languages (e.g., Python, R, Java, PHP) and/or technology design methods and tools
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proficiency in statistical programming (e.g., R, SAS, STATA, or Python) Have interest or experience in cancer epidemiology, genomics, and/or social determinants of health Exhibit strong critical thinking
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coding languages, such as R and Python Willingness to learn new methods and pipeline development by interacting with others Willingness to help train others Ability to read literature and learn vision
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candidates with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools (Preferred written in Python). Job Duties Plans, directs and conducts research
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computing is strongly preferred. Training or demonstrated research experience in healthcare applications is a plus. SKILLS: Strong programming skills (e.g., C#, C++, Python) Proficiency in XR development
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. Program in Python. Analysis of quantitative data. Write technical documents / reports. Read scientific papers, journal articles, and (astro)physics textbooks. Participate in weekly research meetings
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with electrophysiology acquisition and analysis (for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including
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platforms including the MS suite of software, GitHub, R, and Python. Works under supervision and independently to perform basic (descriptive analyses), moderately advanced statistical analyses (inferential
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analysis of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data). Experience in R or Python. Application instructions: Please send a CV and a brief cover letter describing your
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate