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, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes
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biological mechanisms utilizing U-M Core Facility resources. Experience in Python or R programming is highly preferred. Mission Alignment: Candidates must demonstrate a clear interest in ecology and species
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Qualifications* Experience with mass spectrometry (especially DIA) and proteomics applications. Strong programming skills (Python, Java) with proficiency in a Linux environment. Experience with computational
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-on experiences in software design and implementation using Python, C/C++, and Matlab, under Windows and Linux environment, Strong communication skills, and ability to work independently and with
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* Doctoral degree in Kinesiology, Psychology, Computer Science, Biomechanical Engineering, or a related field. A high degree of proficiency using R, Python, and/or Matlab to process and analyze time-series
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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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Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance computing environments. Experience with
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epidemiology, policy research, or interdisciplinary public health research is highly desirable. Experience with R, SPSS, Python, Stata, or other statistical programming environments Strong interest in research
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. Applicants should have strong familiarity with data analysis in Python and/or R. Desired Qualifications* Familiarity with Spanish and/or Mandarin will be an added benefit (but is not a requirement). Modes of
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis