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Field
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and programming experience (e.g., R or other languages) This one-year appointment is expected to be renewed for a second year based on satisfactory performance and continued funding. Research staff
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numerical work (35%) Minimum Qualifications: PhD in Ocean Engineering or related field Experience with programming and analysis in Matlab or similar programming language Experience with hands-on experimental
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for longitudinal data analysis or large language models. Strong motivation in the development and application of digital twins, particularly in health and biomedical contexts. Strong computer programming skills
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. Preferred Qualifications Experience with Python, Matlab, or other programming languages. Experience with biomarker temperature proxy data. Experience with the lab techniques to generate biomarker proxy data
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and its applications. Qualifications: Ph.D. in biomechanics, engineering, computer science, or a related discipline. Proficiency in programming languages commonly used in scientific research, such as
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techniques (e.g. explainable, ethical, empathic and agentic AI), natural language processing (NLP), large language models (LLMs), data science methods, and mHealth to analyze large-scale, multidimensional, and
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, application components, or other program-related information, visit https://www.orau.gov/doe-fes-postdoc/default.html. All documents must be in English or include an official English translation. Documents sent
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Programming, C++ Programming Language, Data Integration, Genome Assembly, Genomic Data Analysis, Genomics, Independent Research, Machine Learning, Molecular Biology Techniques, Python (Programming Language
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using Python and Fortran programming language. Responsibilities: Conduct a literature review and gap analysis of existing models on methane and nitrogen gas production, livestock enteric fermentation, and
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. Programming expertise in R/Python/MATLAB is essential, and some knowledge of C/C++ will be preferred. Candidates with demonstrated accomplishment in academic research, as can be judged from published papers