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Field
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-generation sequencing data Programming skills (e.g., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence
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data, immunology and cancer systems biology. Experience with genomic engineering methods, stem cell culture, flow cytometry, and murine models is preferred. Ability to work independently and
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. Applicants must have a PhD in Astronomy, Astrophysics, Physics, or a closely related field by the start of the position. The successful applicant must have the ability to carry out an independent research
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, numerical weather prediction, regional climate modeling, computational fluid dynamics, computer programming, high performance computing, data analysis, and technical writing; ability to work and communicate
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venues Position Requirements Required skills and qualifications: A PhD degree completed within the last 0-5 years (or soon to be completed) in numerical analysis, applied mathematics, computational science
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
, and Experience - PhD in Computer Science, Computing, Statistics or Data Science, or related disciplines - Demonstrated hands-on experience training, fine-tuning, or adapting LLMs / generative AI models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
, and Experience - PhD in Computer Science, Computing, Statistics or Data Science, or related disciplines - Demonstrated hands-on experience training, fine-tuning, or adapting LLMs / generative AI models
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animal model approaches. The candidate is required to work with 3D culture systems, animal models, and human tissue samples. For postdoctoral associate position in this lab, prior experience of working
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on the successful candidates' interests, background, and training goals for career development. To inquire about the position, please email your CV and letter of interest to: Dongbao Chen, PhD Professor in Ob/Gyn
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs