581 programming-languages-"the"-"CNRS"-"U"-"UCL" Postdoctoral positions in United States
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Field
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront
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around the identification of small molecules using mass spectrometry data, and the use of language models to predict the existence of undiscovered small molecules that are likely to be observed by mass
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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
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range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and
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linear, mixed-integer, and stochastic programming. Work with programming languages such as Python, Julia, or C++ to build robust analytical tools and perform large-scale data analysis. Collaborate with
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degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially
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of seismology Programming skills (AI/ML programming frameworks, e.g. PyTorch or TensorFlow, Python, MATLAB, SQL) Fluency in English (written/oral) Willingness to work in an interdisciplinary and international
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defined benefit retirement plan, with 8.25% employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending
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Development Plan (IDP) in collaboration with faculty mentor 4. Generates revenue by securing grants and participates in departmental and institutional career development programs, such as grant writing
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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning