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Field
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, supported by a generous gift from Joan and Irwin Jacobs, will join the cadre of trainees supported by the NIH T32 AIPrN training program. This training program represents the first institutional training
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and an interest in language or communication. A two-year commitment is preferred. Responsibilities: Generation of Scientific Products (70%) Process and analyze data from NIH funded studies of infant
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. Possess excellent verbal and written communication skills in English. Exhibit research interest in areas such as STEM higher education, graduate student and faculty retention, mixed methods research
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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the field of quantitative biology or machine learning (broadly defined); strong written and oral communication skills; strong knowledge of Python programming; familiarity with DL frameworks (i.e. TensorFlow
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strong work ethic Ability to effectively communicate both orally and in writing Ability to conduct clumped isotope measurements Working knowledge of Python and other programming language used for clumped
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Application Materials: To apply, candidates must create an account on Slideroom (link is external) , the application platform used by the Abbasi Program in Islamic Studies, and upload the application materials
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. Excellent communication skills in English, the ability to work in multi-disciplinary teams, and scientific creativity are essential. NYUAD offers a stimulating research environment led by a distinguished
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data