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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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to the application deadline. It is a condition of employment that the master's degree has been awarded. Solid background in mathematics and physics is a requirement. Experience in Fortran, Python, or in a similar
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 16 days ago
and become efficient in using various computing languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis
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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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. Applicants must be proficient in both written and oral English Advantages: Documented education or work experience in the following areas: Numerical modelling in acoustics Programming in Python and MATLAB
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML
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. Experience with a scientific programming environment (such as Python, R, or Matlab) is preferred. ? Strong communication skills. ? Background in machine learning or biology is a plus. ? Knowledge of cancer
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programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical analysis and data processing using relevant statistical software. Experience
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/fireworks/aflow). Proficiency in at least one programming language for data science and for numerical computing (e.g., Python/Julia/Fortran). We regret to inform that only shortlisted candidates will be
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, educational, or demographical outcomes. Familiarity with R, Python, Julia, or other relevant computing languages. Experience with register data or other types of big data. Training in application of genetic