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or manuscripts in preparation. Experience with fMRI data acquisition and/or analysis (e.g., FSL, SPM, AFNI, fMRIPrep, nilearn). Proficiency in at least one programming language (e.g., Python, MATLAB, or R
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and ML pipelines for drug synergy, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is
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Department's Website: https://engineering.uark.edu/ Summary of Job Duties: The Senior Research Assistant will support multidisciplinary research experiments involving cell biology, experimental cell and animal
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Description Job Summary: The We-Search Lab at Harvard University, directed by Ashwini Ashokkumar, is seeking a full-time Researcher Assistant with computational and data analysis skills for an exciting series
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topics in international macroeconomics and finance Responsibilities • Conduct empirical analysis • Review and summarize academic literature • Assistant in theoretical and computational modeling • Prepare
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for collection, organization, analysis, and display of scientific or geographic data. Build robust end-to-end data processing pipelines, including data cleaning, feature engineering, and management for multimodal
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collecting data in the field Coding and collating the dataset, including coding using the R program language for data cleaning and analysis Organize lab meetings and coordinate training and schedules for our
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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control to maintain the integrity of experimental data. • Provide scientific and technical assistance to researchers and faculty. • Assist researchers and faculty to implement image analysis pipelines. A
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interested postdoctoral researcher with strong computational and data-analysis expertise who is interested in applied problems across experimental physics. The successful candidate contributes to applied