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Field
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demonstrated proficiency in programming, specifically in Python and R, as well as experience with modern deep learning frameworks like PyTorch or TensorFlow. In addition to technical skills, the candidate must
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and CHIP-seq. · Expertise in downstream analysis and biological interpretation of bioinformatic findings · Proficiency in R/Python programming, developing analysis pipelines and
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& simulation Bayesian networks & uncertainty quantification ML frameworks (PyTorch, TensorFlow, Hugging Face, OpenCV) & Python Automated pipelines for multi-modal data Continuous, bi-directional data flow
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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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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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Engineering received within the last 3 years. Essential experience includes Python, modern techniques in visual recognition and image segmentation, and the ability to rapidly prototype and fine-tune open-source
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
science databases. This data analysis may be performed using various programming languages such as, SAS, R, or Python. As part of this opportunity, you will be able to engage with a multi-disciplinary
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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in C or C++ or a track record of mastering multiple low-level and high-level programming languages (e.g., Python, R, Julia, Fortran). Department Contact for Questions Questions pertaining
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programming, including programming skills in R and/or Python. Preferred Qualifications Experience with or willingness to learn using LLMs for psychological research. Experience with or willingness to learn open