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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
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programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity for, clinical/experimental gait data from neurological populations (stroke
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, physics, computer science, and/or data science Demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided experimental design Strong Python and scientific computing
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engineering Automatic control Mechatronics Robotics Artificial intelligence Demonstrated research experience in robot control and, more generally, complex systems Strong programming skills (e.g. C/C++, Python
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neuropathies, age-related macular degeneration, diabetic retinopathy, inherited retinal diseases, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn
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a group. Experience with at least one of the list: (preferably two or more):NMR methodology Automated synthesis Polymer chemistry Programming (preferable Python or Matlab) Machine learning Ability
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-omics data (metagenomics, metabolomics, immunophenotyping data). Strong background in machine learning and statistical modeling, preferably in biomedical applications. Proficiency in Python and/or R, as
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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and analytical skills with the ability to interpret complex experimental data (R, Python, genomics data experience) Excellent written and verbal communication skills and a collaborative, team-oriented