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Field
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grade point average of 3.0 (based on a 4.0 scale) or its equivalent in the undergraduate curriculum is required Working knowledge of large language models, generative AI, prompt engineering, and AI ethics
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, we expect machine learning to be employed to improve accuracy and efficiency of numerical methods, combining advanced technology with scientific research. About the Department of Mathematics at UiB
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research teams; and Knowledge of Artificial Intelligence/Machine Learning (AI/ML). Instructions to Applicants: For full consideration, applicants must apply for Postdoctoral Research Fellow at https
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. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome profiling, or CAGE data
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the potential to impact on protected groups and take appropriate action. Desirable Skills: Experience with machine learning or natural language processing. Knowledge of econometric methods for policy evaluation
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interest in methods development Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing
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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The ideal candidate has prior
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grade point average of 3.0 (based on a 4.0 scale) or its equivalent in the undergraduate curriculum is required Working knowledge of large language models, generative AI, prompt engineering, and AI ethics
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statistical models aimed at substantiating the explanatory account the project will offer. Co-authoring papers for submission to top academic journals based on the research and contributing to the writing of a