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and present at scientific conferences Qualifications Basic Qualifications PhD in Computational Biology, Bioinformatics, Computer Science, Human Genetics, Toxicology, or related field (summer and fall
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PhD in Immunology, Immune-oncology, Antibody Engineering, Biochemistry, Molecular Biology, or a related field, with a strong background in cell surface protein biology and protein degradation mechanisms
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samples, iv) conducting bioinformatic analyses on RNA-Seq datasets, v) analyzing metabolites with mass spectrometers (LC-QTOF, SPME-GC-MS), and vi) disseminating results and knowledge generated
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to the work described herein. Qualifications Job Requirements: • PhD in Biostatistics, Bioinformatics, Computational Biology, or other related fields. • Strong foundation in statistical modeling, machine
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Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field with demonstrated ability
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with NCI, CPRIT, and NIH-funded projects. Required Qualifications PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must
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required. Preference will be given to individuals with hands-on experience in RNA and/or epigenetic technologies. Bioinformatics or animal management skills are a plus. The Herman B Wells Center
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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culture, cellular transfection, RNA expression analysis (qRT-PCR, RNA-seq), FACS analysis, Western blotting, ELISA, and bioinformatics. A background or interest in osteoarthritis, drug discovery, RNA
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found online: https://www.jglab.org/ and www.github.com/goekelab Requirements: PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline Good programming skills and strong