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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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visualization in R and/or Python. Ability to work closely with experimentalists to ensure analyses complement experimental goals and enhance data interpretation. Advanced Computational Skills: Proficiency in
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. Proficiency in at least one of Python, C++, Fortran, or Julia. Ability to work effectively in an interdisciplinary team. Demonstrated written and oral communication of candidate-led results Desired
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area. Required Experience Analysis of particle physics data sets Expert knowledge of C++ Expert knowledge of Python Effective communication skills, both oral and written. Additional Qualifications
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in one or more of: Python, C++, Fortran, Julia. Hands-on experience building and training AI models with frameworks such as TensorFlow or PyTorch. Ability to succeed in an interdisciplinary team and
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, AMBER/OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or patient contact? No Physical Demands
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, polygenic scores). Proficiency in statistical methods. Basic programming skills (e.g., UNIX/Linux, Python, R). Experience leading/managing a research project. Excellent scientific writing skills. Language
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/398927/research-fellow-ai-… Requirements
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record
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. Interest in clinical algorithm development and dexterity with biostatistical coding in R or Python is a plus. The primary goal of this aspect of the CH CARE Study is to combine serially obtained somatic and