Sort by
Refine Your Search
-
Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning
-
for interacting with colleagues and stakeholders. Department Specifics: Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
-
for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
-
experience with AI model development, including fine-tuning, applying and evaluating large language models for tasks such as information extraction, summarization, and other biomedical or clinical applications
-
methods. Bioinformatic Analysis (Advanced): Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines. Programming (Expert): Extensive R
-
the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
-
to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The University of Miami Frost Institute for Data Science and Computing seeks a postdoctoral associate to join
-
, genomics, or cell biology preferred. No prior experience required Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise
-
of senior research staff, the Postdoctoral Associate ensures high-quality data generation and timely progression of research projects. The role also involves analyzing experimental data, preparing manuscripts
-
other researchers within the group to integrate AI-driven methods into current research frameworks, contributing to publications and conference presentations. Data Management: Handle large datasets