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/or at lab meeting about working progress, writing manuscripts et al. Responsibilities and Duties: Develop analysis pipeline of large-scale datasets such as single-cell RNASeq data Collaborates and
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Learning Engineer (MLE) / Data Scientist (DS) with expertise in machine learning (ML) and the management and analysis of data. The MLE/DS will work on studies aimed at advancing the understanding, prediction
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aims to develop new foundations and technologies for reasoning and planning that leverage large language models (LLMs) and integrate them with complementary approaches, including program synthesis, and
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implicated genes act in neurons and circuits. We use large scale, unbiased, systematic approaches in collaborative multidisciplinary research teams. This postdoctoral fellowship in the Arlotta lab involves
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computational support to a dynamic research team by developing and maintaining lab information management systems (LIMs), online research software tools, and related pipelines that facilitate large-scale
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the needs of our cross-functional stakeholders into user-facing applications that leverage NLP techniques and large language models (LLMs). As a Sr. Data Scientist on our GenAI applications team, you will
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independently and as part of a large, diverse research group. Special Instructions Applicants will be asked to submit a CV, cover letter and writing sample. Contact Information [email protected] Contact
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, using advanced econometric techniques based on large datasets. Oversee the work flow of a team of research assistants. Exercise independent decision making with regard to progression of research project
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custodial, to a large portion of the University, as well as engineering, technical, and sustainability services. Within E&F, Engineering & Utilities (E&U) operates and manages energy supplies, district
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the administration and execution of all functions of the Employer Engagement Team and serves as principal administrative contact for engagement on campus with employers, including campus interviews, information