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(or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability
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metagenomic sequencing data. Strong programming skills (e.g., R and Python). Experience with cloud computing. Excellent organizational and interpersonal skills, and a strong publication record. Desired
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with statistical modeling (ideally Bayesian statistics) • Proficiency in Fortran, R, Python, Matlab, or ideally other common languages (e.g., C/C++) Strong computational skills Strong oral and written
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cochlear implants Investigations of how cognitive-linguistic factors, social environments, and auditory experiences shape individual differences in CI outcomes and speech communication in normal-hearing
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production with an associated photon. • Technical skills in the use of columnar analysis approaches with python. Desired Qualifications • Experience with C++ programming. • Experience in developing
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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traits and to improve our ability to predict disease, target disease prevention in high-risk individuals, and tailor treatment based on individual genomic differences. The research specialist will work
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and