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Field
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with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and solutions. Disseminate research findings in publications, posters, project
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algorithms and models to multimodal data (unstructured and structured text, knowledge graph, etc) Design and conduct experiments to test hypotheses with applied statistics Analyze and interpret results
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, and evaluate ML and NLP algorithms for scientific and security applications. Work in interdisciplinary collaborations with subject matter experts from a variety of domain sciences and security areas
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. Implement, adapt, and evaluate ML and NLP algorithms for scientific and security applications. Work in interdisciplinary collaborations with subject matter experts from a variety of domain sciences and
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and relevant data analysis. • Demonstrated experience in Python programming. • Knowledge of machine-learning algorithms. Additional Information: BNL policy requires that after obtaining a PhD
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learning field. Excellent programming and computer science skills. Preferred Knowledge, Skills, And Abilities Practical experience developing novel ML, LLM, or CV algorithms and models. Experience with state
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are also supported by funding from the NIH and NSF. The CompEpi group currently supports several CS PhD, Masters and undergraduate students. The post-doctoral scholar will have regular opportunities
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for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as
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. Qualifications a. Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining
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PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm, magnetic resonance