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., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB). Additional Information
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include the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin
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papers. An ability to analyse data in R, Matlab or Python is essential. The candidate will join an international, multi-disciplinary team with cross site visits throughout the project. A PhD student also
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Essential criteria are: Doctoral degree in computed tomography, image analysis, or similar Demonstrated experience in programming (e.g., Python, MATLAB) Theoretical knowledge and practical experience in
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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undergraduate or graduate researchers. · Experience writing research grant applications. · Experience with software such as R, Python, Matlab, and GIS tools · Experience facilitating workshops
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systems, tree-ring standardization approaches, chronology development, and dendrochronology programs such as ARSTAN and COFECHA. Experience with a statistical programming language, such as R or Matlab
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is
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(semantics/prosody preferred). Experience with neuroimaging (e.g., fMRI) and quantitative analysis. Proficiency in Python/MATLAB or similar tools. Record of peer-reviewed publications and independent research