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learning algorithms and creating predictive models. This role will contribute to evidence-based processes and procedures for program quality review and assessment of outcomes data as well as develop
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computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung cancer and intraoperative
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with robots, computers, especiallyzed software and stereomicroscopes in addition to the genetic and molecular biology benches. Job Duties Conducts genetic screens using Drosophila disease models
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biologically/pharmaceutically important proteins for cancer therapy. In addition, the candidate will receive training in computational drug design, biochemistry and cell biology techniques for testing compound
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using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful
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Job Description Apply now Job Title: Postdoctoral Associate- Synthetic Organic/Medicinal Chemistry Division: Biochemistry Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up
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intended for life science graduates from Immunology or Microbiology backgrounds, however, a graduate with background in Computer Science or Computational Biology will also be considered. The successful
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candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand
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. Computation analysis and coding encouraged. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. degree in any
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important proteins for the treatment of cancer, stroke and other diseases. In addition, he/she will receive training in computational drug design, biochemistry and cell biology techniques for testing compound