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Responsibilities include the following: Conducts research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Assists with data post-processing. Assists in programming using Python
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projections and/or coastal climate risk; · Strong coding skills, including experience in Python; · Excellent organizational and communication skills. Familiarity with high-performance computing is a plus
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Science, Education, or related discipline Proficiency in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy
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., Python, R, TensorFlow, PyTorch, scikit-learn) preferred. Familiarity of complex information systems architecture, electronic health data, transmission standards for electronic health data, information
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. Support data integrity, security, and appropriate access within data environments. Support the creation and maintenance of data pipelines and integration workflows using SQL, Python, and related tools. Use
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in a team and have a demonstrated record of public presentations at research conferences commensurate with a highly energetic research enterprise. Experience using MATLAB or Python scripting languages
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Laboratory or experimental research experience Experience with common programming languages (e.g., Python, Matlab) Experience working with big data
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research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Assists with data post-processing. Assists in programming using Python, and Java/Kotlin (for Android). Presents
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experienced team leadership with hands-on technical depth in modern data platforms, data modeling, and ELT/ETL practices. Ability to evaluate and guide the use of SQL, Python, ETL/ELT frameworks, and other
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, Skills, and Abilities Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, python, etc. Must be computer literate with proficiency and working knowledge