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MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications PhD in computational science Working knowledge of machine learning and deep learning 3
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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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. The goal of the Training Program at the CNRC is to prepare Ph.D. and M.D. postdocs for biomedical research careers in nutrition that focus on pregnancy, lactation, infancy, childhood, and adolescence
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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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initiatives. Continuous Learning & Training: • Stays updated with the latest advancements in AI, computer science, and radiation oncology. • Provides training to departmental staff on the use and
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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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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