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Field
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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
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college or university in statistics, biostatistics, computer science or related field Experience in causal inference Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred
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. Strong programming skills (R, Python, C++ etc.). Excellent written and oral communication skills. Required Application Materials: Cover letter describing your interest in applying to the lab. Curriculum
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understanding of ferroelectrics, especially in thin film form. Experience in Python and/or Matlab. Experience in materials characterization techniques such as Raman, X-ray diffraction, and scanning electron
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on oral health. Preferred Qualifications: Experience analyzing oral microbiome datasets (16S, shotgun metagenomics, or metatranscriptomics). Advanced programming and data science skills in R, Python
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative discipline. Strong programming skills in C++, Python, MATLAB, or similar
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experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms Strong programming skills in Python and experience
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research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued