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Field
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: Minimum education: PhD in a relevant scientific field (e.g., computer science, image processing, or computational neuroscience). Minimum experience: 0 years Preferred Qualifications: Preferred education
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. in evolutionary biology, ecology, plant biology, genomics, bioinformatics, computer science, plant
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imaging; cellular and molecular biology studies and assays including for example cell culture and transfections, qRT-PCR, RNA and DNA isolation and preparation, ELISAs, tissue histology and microscopy, and
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, standing, walking. Working on a computer. Ability to move to on and off-campus locations. Equipment Lab and office equipment. Salary Range: Base pay is commensurate with experience. The above statements are
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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
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normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology, computer science, biomedical engineering
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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, Omics, and Imaging in Brain Development and Disease H. Park: Breast cancer, epigenetics, environmental exposures, and biomarkers F. Rahmatpanah: Prostate cancer disparities, Ovarian cancer, Epigenetics
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processes relevant to human health and disease using using genetics, molecular biology, biochemistry, cell biology, and microscopy/imaging. A qualified candidate will be capable of working independently