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platforms in life science research. The candidate should be proficient in at least one programming language (e.g., R, Python, C, or C++). They should also have a strong publication record
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math, or a related field - Experience with machine learning foundations - Strong quantitative skills - Fluency in Python and large-scale execution of machine learning systems - Excellent oral and written
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, Python), and institutional research databases for data management, analysis, and visualization. Supports clinical research activities that includes preparation of IRB protocols, patient data collection
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data-science training workshops (e.g., R, Python, Linux, ML/AI pipelines) and contributes training modules to the project’s education and workforce-development activities. Co-mentors graduate research
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efficiency of regulatory research and operations. You will apply hands-on programming skills in R and Python, acting within server-side development environments such as RStudio, JupyterLab, and
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bioinformatic analysis of Next Generation Sequencing data, including command-line work in a high-performance computing environment. • Programming or scripting skills (e.g., R, Python, bash). • Excellent
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 19 hours ago
, data mining, data analysis, Pharmacomatrics, Pharmacology, and has software skills such as NONMEM, R or Python, SAS, etc. Point of Contact Ashley Eligibility Requirements Citizenship: LPR or U.S
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expertise in robot manipulation and visuomotor control Strong command of behavior cloning, reinforcement learning, or related learning-based manipulation methods Proficiency in Python and modern deep
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LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with medical imaging or genomic datasets is an asset. Excellent communication skills
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software applications or program platforms including R, SAS , Python, and MPlus. · Acquires Specialized Training. Attends trainings and skill development workshops as necessary to acquire new statistical