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Field
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date) Strong statistical and programming skills; demonstrated ability to use one or more programming languages for data analysis (e.g., Python, R, MATLAB) Experience with data analysis, modeling
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(or equivalent) in public health, health services, health policy, gerontology, or social work. Proficiency with data analysis and coding language (SAS, R, STATA, SPSS, Python, etc.) ideally with experience
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processes contributing to sea level change; b) experience with ocean and/or earth system modeling; c) experience with Python and scientific data analysis. Candidates must have a Ph.D. or expect to complete a
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analysing medical images and working with data Strong programming skills in R or Python Good communication skills and ability to work in a team Ideally, you would also have: Experience with AI and machine
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including CO2 and CH4 . Responsibilities and qualifications Responsibilities: Engineer multiple enzyme properties using experimental and computational methods Set up high-throughput screening methods and
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of observation, both in terms of acquisition speed and imaging depth, with applications ranging from biology to the study of nanomaterials. These developments sit at the crossroads of multiple disciplines
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biomedical engineers, sharing their expertise to work at the border of these multiple disciplines. The position will be in the Multifunctional Neural Interfaces Research Unit is coordinated by Prof. Ferruccio
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Children's Research Hospital in Memphis, TN. The goal of our research is to understand how neural circuits control movement. We approach this from multiple perspectives, using diverse technologies to analyze
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teach. We welcome applicants who are primarily computational: the lab has multiple fully computational projects using existing genomic, metagenomic, and longitudinal microbiome datasets, making
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discoveries in gene regulation, immune variation, disease mechanisms, and functional cell states. Lead analyses that directly enable first-author publications, with multiple manuscripts already under review