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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Biology, Development, Molecular Biology, Genetics, Neuroscience, Evolutionary Biology or similar field
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time management skills. Coordinate multiple tasks and work independently and productively in a fast paced, deadline-oriented environment. Excellent interpersonal skills and the ability to effectively
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://shen.scripps.ufl.edu/ ), has multiple Postdoctoral Research Associate positions available immediately until filled. We are specifically looking for aspiring candidates with experience in (i) bioinformatics, genome
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: Marston Science Library, UF campus, Gainesville, FL Job Duties The Research Assistant will perform the following: Manage multiple datasets and files hosted in Snowflake Search, filter, and refine project
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roof” interdisciplinary clinical-research center. We specialize in Parkinson’s disease, movement disorders, Alzheimer’s disease, ALS, Traumatic Brain Injury, Multiple Sclerosis, and related diseases
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of Pharmacy's Medicinal Chemistry department. Job Description: Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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data. - Assist with incorporating scRNA-seq results into multi-modal pipelines. Multi-Modal Data Integration and Modeling - Develop and implement computational workflows for integrating omics, histology
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, mathematics or related majors Job Description: The Postdoctoral Researcher will play a key role in developing and applying cutting-edge AI methods to analyze large-scale clinical datasets, including electronic
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, maintaining files and data records, image analysis, organization of documents and ordering supplies and equipment. Duties and responsibilities include, but are not limited to: Monitor and prepare study data